On the public citation graph
The use of digital pathology and image analysis in clinical trials
0 signed · 161 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2017.14580openalex-snapshot
Deep Learning Algorithms for Detection of Lymph Node Metastases From Breast Cancer
inferredcites →https://doi.org/10.1001/jama.2017.14585openalex-snapshot
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
inferredcites →https://doi.org/10.1002/1097-0142(19881001)62:7<1301::aid-cncr2820620710>3.0.co;2-bopenalex-snapshot
Evaluation of pathology review of malignant lymphomas and Hodgkin's disease in cooperative clinical trials: The eastern cooperative oncology group experience
inferredcites →https://doi.org/10.1002/cjp2.121openalex-snapshot
Quality assurance guidance for scoring and reporting for pathologists and laboratories undertaking clinical trial work
inferredcites →https://doi.org/10.1002/cjp2.124openalex-snapshot
Training and accreditation standards for pathologists undertaking clinical trial work
inferredcites →https://doi.org/10.1002/cjp2.3openalex-snapshot
Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium
inferredcites →https://doi.org/10.1002/cncr.24214openalex-snapshot
Central pathology review in multicenter trials and studies
inferredcites →https://doi.org/10.1002/cyto.a.23035openalex-snapshot
Simultaneous automatic scoring and co‐registration of hormone receptors in tumor areas in whole slide images of breast cancer tissue slides
inferredcites →https://doi.org/10.1002/mrd.22489openalex-snapshot
The ImageJ ecosystem: An open platform for biomedical image analysis
inferredcites →https://doi.org/10.1007/978-3-319-57959-7openalex-snapshot
The EU General Data Protection Regulation (GDPR)
inferredcites →https://doi.org/10.1007/s00428-006-0254-xopenalex-snapshot
Impact of pathology review of stage and margin status of radical prostatectomy specimens (EORTC trial 22911)
inferredcites →https://doi.org/10.1007/s00428-018-2485-zopenalex-snapshot
Precision immunoprofiling by image analysis and artificial intelligence
inferredcites →https://doi.org/10.1016/j.bdq.2017.01.002openalex-snapshot
Reproducibility of biomedical research – The importance of editorial vigilance
inferredcites →https://doi.org/10.1016/j.celrep.2018.03.086openalex-snapshot
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
inferredcites →https://doi.org/10.1016/j.media.2018.12.001openalex-snapshot
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
inferredcites →https://doi.org/10.1016/j.trsl.2017.10.010openalex-snapshot
Digital image analysis in breast pathology—from image processing techniques to artificial intelligence
inferredcites →https://doi.org/10.1016/j.ymeth.2014.06.015openalex-snapshot
Digital pathology and image analysis in tissue biomarker research
inferredcites →https://doi.org/10.1016/j.ymeth.2017.02.007openalex-snapshot
Analysis of live cell images: Methods, tools and opportunities
inferredcites →https://doi.org/10.1038/bjc.2015.179openalex-snapshot
Systematic review and meta-analysis of immunohistochemical prognostic biomarkers in resected oesophageal adenocarcinoma
inferredcites →https://doi.org/10.1038/modpathol.2013.134openalex-snapshot
The estimation of tumor cell percentage for molecular testing by pathologists is not accurate
inferredcites →https://doi.org/10.1038/modpathol.2016.109openalex-snapshot
Standardized evaluation of tumor-infiltrating lymphocytes in breast cancer: results of the ring studies of the international immuno-oncology biomarker working group
inferredcites →https://doi.org/10.1038/ncponc0252openalex-snapshot
REporting recommendations for tumor MARKer prognostic studies (REMARK)
inferredcites →https://doi.org/10.1038/nmeth.2089openalex-snapshot
NIH Image to ImageJ: 25 years of image analysis
inferredcites →https://doi.org/10.1038/nrclinonc.2016.162openalex-snapshot
Imaging biomarker roadmap for cancer studies
inferredcites →https://doi.org/10.1038/s41379-018-0109-4openalex-snapshot
An international multicenter study to evaluate reproducibility of automated scoring for assessment of Ki67 in breast cancer
inferredcites →https://doi.org/10.1038/s41591-018-0177-5openalex-snapshot
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
inferredcites →https://doi.org/10.1038/s41598-017-17204-5openalex-snapshot
QuPath: Open source software for digital pathology image analysis
inferredcites →https://doi.org/10.1038/s41598-018-21758-3openalex-snapshot
Deep learning based tissue analysis predicts outcome in colorectal cancer
inferredcites →https://doi.org/10.1038/s41598-018-31799-3openalex-snapshot
Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer
inferredcites →https://doi.org/10.1038/s41598-018-35501-5openalex-snapshot
Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies
inferredcites →https://doi.org/10.1038/srep13428openalex-snapshot
A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation
inferredcites →https://doi.org/10.1056/nejmoa051424openalex-snapshot
Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer
inferredcites →https://doi.org/10.1067/mcp.2001.113989openalex-snapshot
Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework
inferredcites →https://doi.org/10.1073/pnas.1717139115openalex-snapshot
Predicting cancer outcomes from histology and genomics using convolutional networks
inferredcites →https://doi.org/10.1093/annonc/mdt354openalex-snapshot
Early colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
inferredcites →https://doi.org/10.1093/jnci/dji237openalex-snapshot
Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)
inferredcites →https://doi.org/10.1097/mnh.0000000000000360openalex-snapshot
Digital pathology in nephrology clinical trials, research, and pathology practice
inferredcites →https://doi.org/10.1101/064279openalex-snapshot
H&E-stained Whole Slide Image Deep Learning Predicts SPOP Mutation State in Prostate Cancer
inferredcites →https://doi.org/10.1109/tbme.2014.2303294openalex-snapshot
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
inferredcites →https://doi.org/10.1109/tmi.2016.2525803openalex-snapshot
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
inferredcites →https://doi.org/10.1111/his.13333openalex-snapshot
HER 2 challenge contest: a detailed assessment of automated HER 2 scoring algorithms in whole slide images of breast cancer tissues
inferredcites →https://doi.org/10.1126/scitranslmed.3002564openalex-snapshot
Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
inferredcites →https://doi.org/10.1136/bmj.k3484openalex-snapshot
AI system interprets eye scans as accurately as top specialists
inferredcites →https://doi.org/10.1136/jclinpath-2017-204644openalex-snapshot
Future-proofing pathology: the case for clinical adoption of digital pathology
inferredcites →https://doi.org/10.1136/jclinpath-2018-205328openalex-snapshot
Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours
inferredcites →https://doi.org/10.1186/s13058-016-0682-8openalex-snapshot
Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer
inferredcites →https://doi.org/10.1186/s40425-018-0453-4openalex-snapshot
SITC 2018 workshop report: Immuno-Oncology Biomarkers: State of the Art
inferredcites →https://doi.org/10.1200/jco.2008.19.6147openalex-snapshot
In Situ Cytotoxic and Memory T Cells Predict Outcome in Patients With Early-Stage Colorectal Cancer
inferredcites →https://doi.org/10.1215/s1152851703000097openalex-snapshot
The influence of central review on outcome associations in childhood malignant gliomas: Results from the CCG-945 experience
inferredcites →https://doi.org/10.1371/journal.pmed.1001216openalex-snapshot
Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): Explanation and Elaboration
inferredcites →https://doi.org/10.18632/oncotarget.4391openalex-snapshot
Automated tumor analysis for molecular profiling in lung cancer
inferredcites →https://doi.org/10.5858/arpa.2012-0093-raopenalex-snapshot
Central Pathology Review for Phase III Clinical Trials: The Enabling Effect of Virtual Microscopy
inferredcites →https://doi.org/10.5858/arpa.2012-0561-cpopenalex-snapshot
A Prospective, Multi-Institutional Diagnostic Trial to Determine Pathologist Accuracy in Estimation of Percentage of Malignant Cells
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/2056-4538.12366openalex-snapshot
Closing the loop – the role of pathologists in digital and computational pathology research
inferred← citeshttps://doi.org/10.1002/2056-4538.12395openalex-snapshot
Validation of a whole slide image management system for metabolic‐associated steatohepatitis for clinical trials
inferred← citeshttps://doi.org/10.1002/cjp2.199openalex-snapshot
Recommendations for cellular and molecular pathology input into clinical trials: a systematic review and meta‐aggregation
inferred← citeshttps://doi.org/10.1002/cjp2.249openalex-snapshot
Automated annotations of epithelial cells and stroma in hematoxylin–eosin ‐stained whole‐slide images using cytokeratin re‐staining
inferred← citeshttps://doi.org/10.1002/cjp2.274openalex-snapshot
Assessment of clinical trial protocols for pathology content using the SPIRIT‐Path guidelines highlights areas for improvement
inferred← citeshttps://doi.org/10.1002/cti2.1183openalex-snapshot
Immune contexture analysis in immuno‐oncology: applications and challenges of multiplex fluorescent immunohistochemistry
inferred← citeshttps://doi.org/10.1002/jemt.23805openalex-snapshot
Morphometric analysis of nuclear symmetry in urothelial carcinoma for predicting tumor recurrence
inferred← citeshttps://doi.org/10.1002/path.5337openalex-snapshot
Computational pathology and the understanding of disease
inferred← citeshttps://doi.org/10.1002/viw.20240023openalex-snapshot
Photoacoustic imaging in brain disorders: Current progress and clinical applications
inferred← citeshttps://doi.org/10.1007/978-1-0716-0623-0_2openalex-snapshot
Overcoming Autofluorescence (AF) and Tissue Variation in Image Analysis of In Situ Hybridization
inferred← citeshttps://doi.org/10.1007/978-3-030-99838-7_12openalex-snapshot
Digital and Computational Pathology: A Specialty Reimagined
inferred← citeshttps://doi.org/10.1007/978-3-031-58359-9_5openalex-snapshot
Digital Pathology Ecosystem: Basic Elements to Revolutionize the Diagnosis and Monitoring of Diseases in Health Sector
inferred← citeshttps://doi.org/10.1007/s00428-024-04005-1openalex-snapshot
The role of the pathologist in the design and conducting of biomarker-driven clinical trials in cancer: position paper of the European Society of Pathology
inferred← citeshttps://doi.org/10.1007/s00428-025-04064-yopenalex-snapshot
Implementing digital pathology: qualitative and financial insights from eight leading European laboratories
inferred← citeshttps://doi.org/10.1007/s10462-025-11117-wopenalex-snapshot
Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice
inferred← citeshttps://doi.org/10.1007/s12022-023-09790-0openalex-snapshot
Morphometric Analysis of Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Digital Pathology
inferred← citeshttps://doi.org/10.1007/s40139-020-00217-7openalex-snapshot
Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics
inferred← citeshttps://doi.org/10.1016/b978-0-12-821318-6.00018-9openalex-snapshot
Impact of COVID-19 on the adoption of digital pathology
inferred← citeshttps://doi.org/10.1016/b978-0-443-18574-8.00006-6openalex-snapshot
Biomarkers of human viral infections and their role in the diagnosis
inferred← citeshttps://doi.org/10.1016/j.anndiagpath.2021.151741openalex-snapshot
Quantifying intraepithelial lymphocytes and subepithelial collagen band in microscopic colitis, extracting insights into the interrelationship of lymphocytic and collagenous colitis
inferred← citeshttps://doi.org/10.1016/j.clispe.2021.100006openalex-snapshot
Breast cancer histopathology using infrared spectroscopic imaging: The impact of instrumental configurations
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109991openalex-snapshot
HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images
inferred← citeshttps://doi.org/10.1016/j.csbj.2021.01.022openalex-snapshot
QuPath: The global impact of an open source digital pathology system
inferred← citeshttps://doi.org/10.1016/j.jare.2025.09.049openalex-snapshot
Bridging traditional and deep learning methods in H&E histological image normalization: a comprehensive review and introducing a novel framework for comparative analyses
inferred← citeshttps://doi.org/10.1016/j.jpi.2022.100177openalex-snapshot
An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS)
inferred← citeshttps://doi.org/10.1016/j.jpi.2023.100347openalex-snapshot
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
inferred← citeshttps://doi.org/10.1016/j.jpi.2023.100357openalex-snapshot
Computational pathology: A survey review and the way forward
inferred← citeshttps://doi.org/10.1016/j.jpi.2025.100542openalex-snapshot
Applications and challenges of utilizing digital pathology and AI-enabled workflows in clinical trials
inferred← citeshttps://doi.org/10.1016/j.landig.2026.101017openalex-snapshot
Digital pathology, image analysis, and artificial intelligence in liver disease
inferred← citeshttps://doi.org/10.1016/j.media.2021.102298openalex-snapshot
Federated learning for computational pathology on gigapixel whole slide images
inferred← citeshttps://doi.org/10.1016/j.modpat.2022.100088openalex-snapshot
MarrowQuant 2.0: A Digital Pathology Workflow Assisting Bone Marrow Evaluation in Experimental and Clinical Hematology
inferred← citeshttps://doi.org/10.1016/j.mpdhp.2020.08.004openalex-snapshot
Artificial intelligence in pathology: an overview
inferred← citeshttps://doi.org/10.1016/s0140-6736(21)00673-5openalex-snapshot
The Lancet Commission on diagnostics: transforming access to diagnostics
inferred← citeshttps://doi.org/10.1016/s1470-2045(21)00344-2openalex-snapshot
Guidelines for cellular and molecular pathology content in clinical trial protocols: the SPIRIT-Path extension
inferred← citeshttps://doi.org/10.1017/cts.2020.531openalex-snapshot
Developing image analysis pipelines of whole-slide images: Pre- and post-processing
inferred← citeshttps://doi.org/10.1021/acs.analchem.3c02389openalex-snapshot
Aggregated Molecular Phenotype Scores: Enhancing Assessment and Visualization of Mass Spectrometry Imaging Data for Tissue-Based Diagnostics
inferred← citeshttps://doi.org/10.1038/s41374-021-00653-yopenalex-snapshot
Establishing standardized immune phenotyping of metastatic melanoma by digital pathology
inferred← citeshttps://doi.org/10.1038/s41379-020-00718-1openalex-snapshot
A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies
inferred← citeshttps://doi.org/10.1038/s41379-021-00919-2openalex-snapshot
Digital pathology and artificial intelligence in translational medicine and clinical practice
inferred← citeshttps://doi.org/10.1038/s41388-023-02857-6openalex-snapshot
Translation of tissue-based artificial intelligence into clinical practice: from discovery to adoption
inferred← citeshttps://doi.org/10.1038/s41416-026-03605-9openalex-snapshot
Why early pathology input matters in biologically rich cancer trials
inferred← citeshttps://doi.org/10.1038/s41523-020-0155-1openalex-snapshot
Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
inferred← citeshttps://doi.org/10.1038/s41551-020-00682-wopenalex-snapshot
Data-efficient and weakly supervised computational pathology on whole-slide images
inferred← citeshttps://doi.org/10.1038/s41598-020-75180-9openalex-snapshot
Combining multiple spatial statistics enhances the description of immune cell localisation within tumours
inferred← citeshttps://doi.org/10.1093/jmicro/dfac051openalex-snapshot
Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images
inferred← citeshttps://doi.org/10.1097/hep.0000000000000980openalex-snapshot
Aramchol improves hepatic fibrosis in metabolic dysfunction–associated steatohepatitis: Results of multimodality assessment using both conventional and digital pathology
inferred← citeshttps://doi.org/10.1097/pai.0000000000000930openalex-snapshot
Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association
inferred← citeshttps://doi.org/10.1097/pas.0000000000001639openalex-snapshot
Frontiers in Celiac Disease: Where Autoimmunity and Environment Meet.
inferred← citeshttps://doi.org/10.1101/2023.06.01.543306openalex-snapshot
Utilizing Aggregated Molecular Phenotype (AMP) Scores to Visualize Simultaneous Molecular Changes in Mass Spectrometry Imaging Data
inferred← citeshttps://doi.org/10.1101/cshperspect.a037812openalex-snapshot
Molecular Pathology of Lung Cancer
inferred← citeshttps://doi.org/10.1109/access.2023.3296848openalex-snapshot
Multi-Configuration Analysis of DenseNet Architecture for Whole Slide Image Scoring of ER-IHC
inferred← citeshttps://doi.org/10.1109/access.2024.3377428openalex-snapshot
DRD-UNet, a UNet-Like Architecture for Multi-Class Breast Cancer Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cisp-bmei56279.2022.9979919openalex-snapshot
IANet: Important-Aware Network for Microscopic Hyperspectral Pathology Image Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01076openalex-snapshot
Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis
inferred← citeshttps://doi.org/10.1109/icaiic60209.2024.10463355openalex-snapshot
Hybrid Deep Learning Architectures for Histological Image Segmentation
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463111openalex-snapshot
QPath: A Question-Aware Multi-Resolution Vision Language Framework for Computational Pathology
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3417937openalex-snapshot
MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges
inferred← citeshttps://doi.org/10.1111/cup.14629openalex-snapshot
Digital dermatopathology implementation: Experience at a multisite academic institution
inferred← citeshttps://doi.org/10.1111/his.14099openalex-snapshot
The important role of the histopathologist in clinical trials: challenges and approaches to tackle them
inferred← citeshttps://doi.org/10.1111/his.14174openalex-snapshot
Low‐contact and high‐interconnectivity pathology (LC&HI Path): post‐COVID19‐pandemic practice of pathology
inferred← citeshttps://doi.org/10.1111/ijlh.14533openalex-snapshot
Digital Pathology in Hematopathology: From Vision to Deployment
inferred← citeshttps://doi.org/10.1136/jclinpath-2020-206786openalex-snapshot
Role of digital pathology in diagnostic histopathology in the response to COVID-19: results from a survey of experience in a UK tertiary referral hospital
inferred← citeshttps://doi.org/10.1136/jclinpath-2020-206854openalex-snapshot
Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective
inferred← citeshttps://doi.org/10.1142/s2972389224300032openalex-snapshot
H&E2.0 — Harnessing Artificial Intelligence to Enhance Biomarker Prediction Using Hematoxylin and Eosin-Stained Image
inferred← citeshttps://doi.org/10.1158/2326-6066.cir-19-0554openalex-snapshot
Self-Maintaining CD103+ Cancer-Specific T Cells Are Highly Energetic with Rapid Cytotoxic and Effector Responses
inferred← citeshttps://doi.org/10.1159/000515379openalex-snapshot
Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review
inferred← citeshttps://doi.org/10.1165/rcmb.2025-0243maopenalex-snapshot
Design and characterization of 4D-710, an aerosolized gene therapy for cystic fibrosis lung disease
inferred← citeshttps://doi.org/10.1177/0192623320970534openalex-snapshot
Impact of Preanalytical Factors During Histology Processing on Section Suitability for Digital Image Analysis
inferred← citeshttps://doi.org/10.1177/01926233231182115openalex-snapshot
Results of the European Society of Toxicologic Pathology Survey on the Use of Artificial Intelligence in Toxicologic Pathology
inferred← citeshttps://doi.org/10.1177/03009858251334340openalex-snapshot
Digital pathology in veterinary clinical pathology: A review
inferred← citeshttps://doi.org/10.1177/1010428320971404openalex-snapshot
Characterization of immunoreactivity with whole-slide imaging and digital analysis in high-grade serous ovarian cancer
inferred← citeshttps://doi.org/10.1186/s40478-020-00918-5openalex-snapshot
A high–throughput digital script for multiplexed immunofluorescent analysis and quantification of sarcolemmal and sarcomeric proteins in muscular dystrophies
inferred← citeshttps://doi.org/10.1200/go.20.00346openalex-snapshot
Reimagining Global Oncology Clinical Trials for the Postpandemic Era: A Call to Arms
inferred← citeshttps://doi.org/10.1200/po.20.00412openalex-snapshot
Analytical Concordance of PD-L1 Assays Utilizing Antibodies From FDA-Approved Diagnostics in Advanced Cancers: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1293/tox.2019-0056openalex-snapshot
Current status of pathological image analysis technology in pharmaceutical companies: a questionnaire survey of the Japan Pharmaceutical Manufacturers Association
inferred← citeshttps://doi.org/10.15616/bsl.2023.29.2.53openalex-snapshot
Application of Artificial Intelligence-based Digital Pathology in Biomedical Research
inferred← citeshttps://doi.org/10.15616/bsl.2025.31.1.33openalex-snapshot
Classification of Megakaryocytes in the Bone Marrow of Rats with Deep Learning
inferred← citeshttps://doi.org/10.1637/aviandiseases-d-19-00157openalex-snapshot
Hepatic Perisinusoidal Myofibroblast Proliferation and Systemic Inflammatory Response Precedes Sep/Tox Hepatitis in Broilers
inferred← citeshttps://doi.org/10.17116/patol20208206124openalex-snapshot
Assessment of PD-L1 expression using the neural network analysis algorithm in non-small cell lung carcinoma biopsy specimens
inferred← citeshttps://doi.org/10.21037/tlcr-20-1168openalex-snapshot
Conventional and semi-automatic histopathological analysis of tumor cell content for multigene sequencing of lung adenocarcinoma
inferred← citeshttps://doi.org/10.2147/ijgm.s593911openalex-snapshot
Advancements in Image-Based Artificial Intelligence in the Diagnosis and Treatment of Head and Neck Squamous Cell Carcinoma: A Narrative Review
inferred← citeshttps://doi.org/10.2217/001c.121609openalex-snapshot
Second harmonic generation digital pathology with artificial intelligence: breakthroughs in studying fibrosis dynamics and treatment response
inferred← citeshttps://doi.org/10.26453/otjhs.776947openalex-snapshot
Comparative Morphometric Analysis of Nucleus Size in Endometrial Hyperplasia and Carcinoma
inferred← citeshttps://doi.org/10.3389/fdgth.2024.1358305openalex-snapshot
Digital pathology implementation in cancer diagnostics: towards informed decision-making
inferred← citeshttps://doi.org/10.3389/fonc.2020.00364openalex-snapshot
Quality Assessment Across Disciplines in Head and Neck Cancer Treatment Diagnostic Pathology in HNSCC
inferred← citeshttps://doi.org/10.3389/fonc.2022.918900openalex-snapshot
Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level
inferred← citeshttps://doi.org/10.3389/fonc.2024.1419599openalex-snapshot
Integrating frontiers: a holistic, quantum and evolutionary approach to conquering cancer through systems biology and multidisciplinary synergy
inferred← citeshttps://doi.org/10.3389/fonc.2024.1437252openalex-snapshot
Applications of artificial intelligence in digital pathology for gastric cancer
inferred← citeshttps://doi.org/10.3390/app12199823openalex-snapshot
Pathological Digital Biomarkers: Validation and Application
inferred← citeshttps://doi.org/10.3390/biom12010019openalex-snapshot
Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry
inferred← citeshttps://doi.org/10.3390/cancers12020255openalex-snapshot
Procedural Requirements and Recommendations for Multiplex Immunofluorescence Tyramide Signal Amplification Assays to Support Translational Oncology Studies
inferred← citeshttps://doi.org/10.3390/cancers12113337openalex-snapshot
Experimental Assessment of Color Deconvolution and Color Normalization for Automated Classification of Histology Images Stained with Hematoxylin and Eosin
inferred← citeshttps://doi.org/10.3390/cancers14235778openalex-snapshot
Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels
inferred← citeshttps://doi.org/10.3390/cancers15153991openalex-snapshot
Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapy
inferred← citeshttps://doi.org/10.3390/diagnostics12051225openalex-snapshot
The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters
inferred← citeshttps://doi.org/10.3390/diagnostics13142379openalex-snapshot
Histopathological Images Analysis and Predictive Modeling Implemented in Digital Pathology—Current Affairs and Perspectives
inferred← citeshttps://doi.org/10.3390/ijms231911326openalex-snapshot
Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer
inferred← citeshttps://doi.org/10.3390/jcm14217465openalex-snapshot
Artificial Intelligence Tools for Supporting Histopathologic and Molecular Characterization of Gynecological Cancers: A Review
inferred← citeshttps://doi.org/10.3390/jpm15050169openalex-snapshot
The Prognostic Impact of the Tumor Immune Microenvironment in Synovial Sarcoma: An Immunohistochemical Analysis Using Digital Pathology and Conventional Interpretation
inferred← citeshttps://doi.org/10.3390/life14060727openalex-snapshot
Current Developments in Diagnosis of Salivary Gland Tumors: From Structure to Artificial Intelligence
inferred← citeshttps://doi.org/10.36253/979-12-215-0556-6.26openalex-snapshot
Objective quantative parameters to evaluate reproductive activity in Engraulis encrasicolus L
inferred← citeshttps://doi.org/10.4062/biomolther.2021.130openalex-snapshot
Classification of Mouse Lung Metastatic Tumor with Deep Learning
inferred← citeshttps://doi.org/10.4103/ijpm.ijpm_790_25openalex-snapshot
Artificial intelligence in pathology: A descriptive survey of awareness, acceptance, and implementation challenges among pathologists in Telangana and Andhra Pradesh
inferred← citeshttps://doi.org/10.4103/jnsm.jnsm_80_24openalex-snapshot
Role of Telepathology, Artificial Intelligence, and Emerging Technologies in Enhancing Diagnostic Accuracy
inferred← citeshttps://doi.org/10.47820/recima21.v7i7.8430openalex-snapshot
ADVANCES IN CANCER DIAGNOSIS: DIGITAL PATHOLOGY, BIOTECHNOLOGY, AND OMICS TECHNOLOGIES WITH AN EMPHASIS ON GLIOBLASTOMA
inferred← citeshttps://doi.org/10.5858/arpa.2020-0037-oaopenalex-snapshot
Initial Evaluation of Rapid, Direct-to-Digital Prostate Biopsy Pathology
inferred← citeshttps://doi.org/10.6084/m9.figshare.12150951openalex-snapshot
Additional file 1 of A high–throughput digital script for multiplexed immunofluorescent analysis and quantification of sarcolemmal and sarcomeric proteins in muscular dystrophies
inferred← citeshttps://doi.org/10.70675/8d10f89dz0f91z4e9dzb3a8zb5228b1172c1openalex-snapshot
Weakly Supervised Segmentation and Context-Aware Classification in Computational Pathology
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.