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Automated annotations of epithelial cells and stroma in hematoxylin–eosin ‐stained whole‐slide images using cytokeratin re‐staining

https://doi.org/10.1002/cjp2.249
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Image Analysis in Digital Pathology: Combining Automated Assessment of Ki67 Staining Quality with Calculation of Ki67 Cell Proliferation Index
inferredcites →https://doi.org/10.1002/path.5638openalex-snapshot
Deep learning detects genetic alterations in cancer histology generated by adversarial networks
inferredcites →https://doi.org/10.1002/path.5663openalex-snapshot
Clinical and research applications of multiplexed immunohistochemistry and in situ hybridization
inferredcites →https://doi.org/10.1006/cgip.1993.1040openalex-snapshot
An Analysis of Histogram-Based Thresholding Algorithms
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-59050-9_19openalex-snapshot
Cancer Metastasis Detection via Spatially Structured Deep Network
inferredcites →https://doi.org/10.1016/j.compmedimag.2015.04.002openalex-snapshot
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis
inferredcites →https://doi.org/10.1016/j.compmedimag.2021.101866openalex-snapshot
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation
inferredcites →https://doi.org/10.1016/j.patrec.2012.01.002openalex-snapshot
Ridler and Calvard’s, Kittler and Illingworth’s and Otsu’s methods for image thresholding
inferredcites →https://doi.org/10.1016/s1361-8415(98)80022-4openalex-snapshot
Image matching as a diffusion process: an analogy with Maxwell's demons
inferredcites →https://doi.org/10.1016/s1470-2045(20)30535-0openalex-snapshot
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study
inferredcites →https://doi.org/10.1038/s41374-018-0123-7openalex-snapshot
Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study
inferredcites →https://doi.org/10.1038/s41591-019-0508-1openalex-snapshot
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
inferredcites →https://doi.org/10.1038/s41596-019-0206-yopenalex-snapshot
Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging
inferredcites →https://doi.org/10.1038/srep26286openalex-snapshot
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
inferredcites →https://doi.org/10.1093/nar/gkz1151openalex-snapshot
Spatially multiplexed RNA in situ hybridization to reveal tumor heterogeneity
inferredcites →https://doi.org/10.1109/cibcb48159.2020.9277638openalex-snapshot
A survey of loss functions for semantic segmentation
inferredcites →https://doi.org/10.1109/icip.2018.8451040openalex-snapshot
Benchmarking of Image Registration Methods for Differently Stained Histological Slides
inferredcites →https://doi.org/10.1109/tmi.2019.2933656openalex-snapshot
Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67
inferredcites →https://doi.org/10.1109/tsmc.1978.4310039openalex-snapshot
Picture Thresholding Using an Iterative Selection Method
inferredcites →https://doi.org/10.1109/tsmc.1980.4308400openalex-snapshot
Thresholding Using the ISODATA Clustering Algorithm
inferredcites →https://doi.org/10.1111/his.13953openalex-snapshot
Being fully digital: perspective of a Dutch academic pathology laboratory
inferredcites →https://doi.org/10.1111/j.1749-6632.1965.tb11715.xopenalex-snapshot
THE ANALYSIS OF CELL IMAGES*
inferredcites →https://doi.org/10.1117/1.1631315openalex-snapshot
Survey over image thresholding techniques and quantitative performance evaluation
inferredcites →https://doi.org/10.1126/sciimmunol.aaf6925openalex-snapshot
In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide
inferredcites →https://doi.org/10.1371/journal.pone.0169875openalex-snapshot
Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation
inferredcites →https://doi.org/10.21236/ada076064openalex-snapshot
Thresholding Using the Isodata Clustering Algorithm
inferredcites →https://doi.org/10.48550/arxiv.1703.02442openalex-snapshot
Detecting Cancer Metastases on Gigapixel Pathology Images
inferredcites →https://doi.org/10.48550/arxiv.1806.07064openalex-snapshot
Cancer Metastasis Detection With Neural Conditional Random Field
inferredcites →https://doi.org/10.5858/arpa.2017-0496-cpopenalex-snapshot
US Food and Drug Administration Approval of Whole Slide Imaging for Primary Diagnosis: A Key Milestone Is Reached and New Questions Are Raised

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108710openalex-snapshot
New vision of HookEfficientNet deep neural network: Intelligent histopathological recognition system of non-small cell lung cancer
inferred← citeshttps://doi.org/10.1016/j.modpat.2023.100331openalex-snapshot
Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry
inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356519openalex-snapshot
Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation Learning
inferred← citeshttps://doi.org/10.1142/s2972389224300044openalex-snapshot
Advances in AI-Enhanced Biomedical Imaging for Cancer Immunology
inferred← citeshttps://doi.org/10.1186/s12014-024-09450-3openalex-snapshot
Frozen tissue coring and layered histological analysis improves cell type-specific proteogenomic characterization of pancreatic adenocarcinoma
inferred← citeshttps://doi.org/10.1371/journal.pone.0328033openalex-snapshot
Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i10.8465openalex-snapshot
Yolov5 AI Deep Learning model driven Nuclear Pleomorphism Grading on Breast Cancer Pathology WSI for Nottingham Cancer Grading
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4093249/v1openalex-snapshot
Consecutive Cytokeratin Immunochemistry-Supervised Algorithm for Predicting Tumor Areas in Ki67 Breast Cancer Images
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4640380/v1openalex-snapshot
New Insight in Pain Relief and Reparative Efficacy of rh-EGF on Rabbit Corneal Injury Running title：Rh-EGF: Pain Relief and Repair in Corneal Injury
inferred← citeshttps://doi.org/10.4236/abcr.2024.132002openalex-snapshot
Assessment and Visualization of Ki67 Heterogeneity in Breast Cancers through Digital Image Analysis
inferred← citeshttps://doi.org/10.48084/etasr.13925openalex-snapshot
Optimized EfficientNet for Detection of Endometrial Cancer Using Histopathological Images
inferred← citeshttps://doi.org/10.6084/m9.figshare.26674520openalex-snapshot
Additional file 1 of Frozen tissue coring and layered histological analysis improves cell type-specific proteogenomic characterization of pancreatic adenocarcinoma
inferred← citeshttps://doi.org/10.6084/m9.figshare.26674523openalex-snapshot
Additional file 2 of Frozen tissue coring and layered histological analysis improves cell type-specific proteogenomic characterization of pancreatic adenocarcinoma
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