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A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
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inferredcites →https://doi.org/10.1002/(sici)1096-9896(199705)182:1<68::aid-path811>3.0.co;2-nopenalex-snapshot
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inferredcites →https://doi.org/10.1109/34.969113openalex-snapshot
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inferredcites →https://doi.org/10.1109/bibm.2007.56openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccv.1999.790308openalex-snapshot
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inferredcites →https://doi.org/10.1109/icip.2007.4379881openalex-snapshot
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inferredcites →https://doi.org/10.1109/iembs.2007.4353866openalex-snapshot
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inferredcites →https://doi.org/10.1109/isbi.2009.5193250openalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1365-2559.2006.02513.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-00949-6_1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-00949-6_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-11024-6_32openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-59722-1_35openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-39539-0_1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-46238-2_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-16-3880-0_14openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10278-014-9766-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10462-019-09716-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10462-021-10121-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10462-025-11207-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-021-02231-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10916-021-01786-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-020-08692-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-023-16313-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11045-017-0488-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11517-019-02008-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40031-022-00745-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41666-023-00144-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-812133-7.00010-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-821259-2.00011-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-323-95359-7.00013-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ajpath.2021.02.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ajpath.2022.12.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ajpath.2024.12.018openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.artmed.2018.10.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.artmed.2021.102048openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.artmed.2022.102420openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bbcan.2020.188452openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bbcan.2021.188520openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bbe.2016.06.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bbe.2018.10.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bbe.2020.11.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2020.105506openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2020.105531openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2020.105815openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106047openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106453openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106464openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107511openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107528openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108200openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cobme.2019.10.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2026.108918openalex-snapshot
cervical nuclei segmentation through synergic conditional generative adversarial network in cervical smear images
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2017.07.018openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2019.103344openalex-snapshot
Color normalization of faded H&E-stained histological images using spectral matching
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2020.103954openalex-snapshot
Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2020.104129openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105219openalex-snapshot
Stain transfer using Generative Adversarial Networks and disentangled features
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105636openalex-snapshot
A review: The detection of cancer cells in histopathology based on machine vision
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108130openalex-snapshot
Bias reduction using combined stain normalization and augmentation for AI-based classification of histological images
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2014.11.008openalex-snapshot
Cell words: Modelling the visual appearance of cells in histopathology images
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2015.04.002openalex-snapshot
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2016.05.003openalex-snapshot
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2017.06.002openalex-snapshot
Automatic quantification of IHC stain in breast TMA using colour analysis
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2018.11.003openalex-snapshot
Patch-based system for Classification of Breast Histology images using deep learning
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2019.101646openalex-snapshot
Unsupervised method for normalization of hematoxylin-eosin stain in histological images
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2021.101870openalex-snapshot
A tree-based multiclassification of breast tumor histopathology images through deep learning
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2021.101901openalex-snapshot
Retinex model based stain normalization technique for whole slide image analysis
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2022.102048openalex-snapshot
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2023.102202openalex-snapshot
Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2025.102507openalex-snapshot
One-shot learning for generalization in medical image classification across modalities
inferred← citeshttps://doi.org/10.1016/j.csbj.2018.01.001openalex-snapshot
Machine Learning Methods for Histopathological Image Analysis
inferred← citeshttps://doi.org/10.1016/j.csbj.2021.06.025openalex-snapshot
An unsupervised style normalization method for cytopathology images
inferred← citeshttps://doi.org/10.1016/j.csbj.2021.08.033openalex-snapshot
HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.csbj.2023.12.042openalex-snapshot
Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization
inferred← citeshttps://doi.org/10.1016/j.dsp.2020.102727openalex-snapshot
A TV-based image processing framework for blind color deconvolution and classification of histological images
inferred← citeshttps://doi.org/10.1016/j.dsp.2021.103196openalex-snapshot
Artificial intelligence in computational pathology – challenges and future directions
inferred← citeshttps://doi.org/10.1016/j.dsp.2023.104318openalex-snapshot
BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution
inferred← citeshttps://doi.org/10.1016/j.ebiom.2019.10.001openalex-snapshot
Analysis of tumour ecological balance reveals resource-dependent adaptive strategies of ovarian cancer
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108136openalex-snapshot
StainSWIN: Vision transformer-based stain normalization for histopathology image analysis
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114262openalex-snapshot
Histopathology image analysis for colorectal cancer using deep learning techniques: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115927openalex-snapshot
An ensemble deep learning for automatic prediction of papillary thyroid carcinoma using fine needle aspiration cytology
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117238openalex-snapshot
Classification of non-Hodgkin lymphomas based on sample entropy signatures
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129188openalex-snapshot
Now and future of artificial intelligence-based signet ring cell diagnosis: A survey
inferred← citeshttps://doi.org/10.1016/j.future.2024.107578openalex-snapshot
Review of deep learning-based pathological image classification: From task-specific models to foundation models
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e37561openalex-snapshot
Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning
inferred← citeshttps://doi.org/10.1016/j.ibmed.2024.100138openalex-snapshot
Cycle Generative Adversarial Network approach for normalization of Gram-stain images for bacteria detection
inferred← citeshttps://doi.org/10.1016/j.imu.2021.100784openalex-snapshot
Attention-Guided deep atrous-residual U-Net architecture for automated gland segmentation in colon histopathology images
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.01.001openalex-snapshot
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101997openalex-snapshot
Stain normalization methods for histopathology image analysis: A comprehensive review and experimental comparison
inferred← citeshttps://doi.org/10.1016/j.ins.2019.08.072openalex-snapshot
Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer
inferred← citeshttps://doi.org/10.1016/j.iswa.2024.200466openalex-snapshot
Artificial intelligence in digital image processing: A bibliometric analysis
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.jmir.2019.11.001openalex-snapshot
Machine Learning Methods for Computer-Aided Breast Cancer Diagnosis Using Histopathology: A Narrative Review
inferred← citeshttps://doi.org/10.1016/j.jpi.2022.100145openalex-snapshot
Stain normalization in digital pathology: Clinical multi-center evaluation of image quality
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.2024.100396openalex-snapshot
Deep feature batch correction using ComBat for machine learning applications in computational pathology
inferred← citeshttps://doi.org/10.1016/j.jpi.2026.100653openalex-snapshot
Enhancing liver fibrosis measurement: Deep learning and uncertainty analysis across multi-center cohorts
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109820openalex-snapshot
A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images
inferred← citeshttps://doi.org/10.1016/j.labinv.2026.106166openalex-snapshot
Direct Measurement and Artificial Intelligence–Based Inference Reveal Histological Section Thickness as a Variable Physical Property Accessible From Routine Hematoxylin and Eosin Images
inferred← citeshttps://doi.org/10.1016/j.media.2014.11.010openalex-snapshot
Assessment of algorithms for mitosis detection in breast cancer histopathology images
inferred← citeshttps://doi.org/10.1016/j.media.2016.07.010openalex-snapshot
Feature-based multi-resolution registration of immunostained serial sections
inferred← citeshttps://doi.org/10.1016/j.media.2016.09.009openalex-snapshot
Assisting the examination of large histopathological slides with adaptive forests
inferred← citeshttps://doi.org/10.1016/j.media.2016.11.004openalex-snapshot
DCAN: Deep contour-aware networks for object instance segmentation from histology images
inferred← citeshttps://doi.org/10.1016/j.media.2017.01.006openalex-snapshot
Multi-resolution cell orientation congruence descriptors for epithelium segmentation in endometrial histology images
inferred← citeshttps://doi.org/10.1016/j.media.2018.02.004openalex-snapshot
A Survey of Methods for 3D Histology Reconstruction
inferred← citeshttps://doi.org/10.1016/j.media.2018.07.004openalex-snapshot
Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach
inferred← citeshttps://doi.org/10.1016/j.media.2018.09.005openalex-snapshot
Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts
inferred← citeshttps://doi.org/10.1016/j.media.2019.101544openalex-snapshot
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
inferred← citeshttps://doi.org/10.1016/j.media.2020.101788openalex-snapshot
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images
inferred← citeshttps://doi.org/10.1016/j.media.2020.101813openalex-snapshot
Deep neural network models for computational histopathology: A survey
inferred← citeshttps://doi.org/10.1016/j.media.2021.102004openalex-snapshot
Residual cyclegan for robust domain transformation of histopathological tissue slides
inferred← citeshttps://doi.org/10.1016/j.media.2022.102580openalex-snapshot
Colour adaptive generative networks for stain normalisation of histopathology images
inferred← citeshttps://doi.org/10.1016/j.media.2022.102640openalex-snapshot
Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images
inferred← citeshttps://doi.org/10.1016/j.media.2022.102691openalex-snapshot
Deep learning for computational cytology: A survey
inferred← citeshttps://doi.org/10.1016/j.media.2024.103424openalex-snapshot
Learnable color space conversion and fusion for stain normalization in pathology images
inferred← citeshttps://doi.org/10.1016/j.media.2025.103567openalex-snapshot
ArtiDiffuser: A unified framework for artifact restoration and synthesis for histology images via counterfactual diffusion model
inferred← citeshttps://doi.org/10.1016/j.micron.2018.07.005openalex-snapshot
A study about color normalization methods for histopathology images
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.05.084openalex-snapshot
Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.01.008openalex-snapshot
Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.04.008openalex-snapshot
StainCNNs: An efficient stain feature learning method
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114975openalex-snapshot
Pseudo-label design as program search: An evolutionary framework for point-supervised nuclei segmentation
inferred← citeshttps://doi.org/10.1016/j.patter.2020.100089openalex-snapshot
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
inferred← citeshttps://doi.org/10.1016/j.patter.2020.100144openalex-snapshot
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
inferred← citeshttps://doi.org/10.1016/j.patter.2025.101388openalex-snapshot
Computational workflows for natural and biomedical image processing based on hypercomplex algebras
inferred← citeshttps://doi.org/10.1016/j.procs.2016.07.033openalex-snapshot
Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images
inferred← citeshttps://doi.org/10.1016/j.proeng.2016.08.064openalex-snapshot
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