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Breast cancer is the most commonly diagnosed cancer and registers the highest number of deaths for women with cancer.
Flat epithelial atypia and atypical ductal hyperplasia: carcinoma underestimation rate
Ingegnoli, A. et al · 2010
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Madabhushi, A. & Lee, G · 2016
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Classification of breast cancer histology images using convolutional neural networks
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Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Bejnordi, B. E. et al · 2017
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Qupath: Open source software for digital pathology image analysis
Bankhead, P. et al · 2017
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https://camelyon17.grand-challenge.org/ (2017)
Camelyon 2017: Camelyon grand challenge 2017 · 2017
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Artificial intelligence and digital pathology: challenges and opportunities
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Classification of breast cancer based on histology images using convolutional neural networks
Bardou, D., Zhang, K. & Ahmad, S. M · 2018
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https://iciar2018-challenge.grand-challenge.org/Dataset/ (2018)
Bach: The grand challenge on breast cancer histology images · 2018
Breakhis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights
Benhammou, Y., Achchab, B., Herrera, F. & Tabik, S · 2020
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Conventional machine learning and deep learning approach for multi-classification of breast cancer histopathology images—a comparative insight
Sharma, S. & Mehra, R · 2020
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Hact-net: A hierarchical cell-to-tissue graph neural network for histopathological image classification
Pati, P. et al · 2020
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Towards explainable graph representations in digital pathology
Jaume, G. et al · 2020
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Machine learning methods for histopathological image analysis: A review
de Matos, J., Ataky, S. T. M., de Souza Britto, A., Soares de Oliveira, L. E. & Lameiras Koerich, A · 2021
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Multiple instance learning for histopathological breast cancer image classification
Sudharshan, P. et al · 2019
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Bach: Grand challenge on breast cancer histology images
Aresta, G. et al · 2019
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Predicting breast tumor proliferation from whole-slide images: the tupac16 challenge
Veta, M. et al · 2019
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Deep neural network models for computational histopathology: A survey
Srinidhi, C. L., Ciga, O. & Martel, A. L · 2020
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Deep computational pathology in breast cancer
Duggento, A., Conti, A., Mauriello, A., Guerrisi, M. & Toschi, N · 2020
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Survey on machine learning and deep learning applications in breast cancer diagnosis
Chugh, G., Kumar, S. & Singh, N · 2021
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https://bracs.icar.cnr.it (2021)
BRACS: BReAst Carcinoma Subtyping · 2021
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Ai slipping on tiles: Data leakage in digital pathology (2021)
Bussola, N., Marcolini, A., Maggio, V., Jurman, G. & Furlanello, C · 2021
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Hierarchical graph representations in digital pathology
Pati, P. et al · 2021
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Quantifying explainers of graph neural networks in computational pathology
Jaume, G. et al · 2021
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