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Deep learning shows great potential for the domain of digital pathology.
Unsupervised data augmentation
Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, and Quoc V Le · 1904
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Self-training with noisy student improves imagenet classification
Qizhe Xie, Eduard Hovy, Minh-Thang Luong, and Quoc V Le · 1911
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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100,000 histological images of human colorectal cancer and healthy tissue, April 2018
Jakob Nikolas Kather, Niels Halama, and Alexander Marx · 2018
Cited alongside, same era.
Twenty years of digital pathology: An overview of the road travelled, what is on the horizon, and the emergence of vendor-neutral archives
Liron Pantanowitz, Ashish Sharma, Alexis B Carter, Tahsin Kurc, Alan Sussman, and Joel Saltz · 2018
Cited alongside, same era.
Access to pathology and laboratory medicine services: a crucial gap
Michael L Wilson, Kenneth A Fleming, Modupe A Kuti, Lai Meng Looi, Nestor Lago, and Kun Ru · 2018
Cited alongside, same era.
Artificial intelligence in digital pathology: A roadmap to routine use in clinical practice
Richard Colling, Helen Pitman, Karin Oien, Nasir Rajpoot, Philip Macklin, David Snead, Tony Sackville, Clare Verrill, CM-Path AI in Histopathology Working Group, Velicia Bachtiar, et al · 2019
Cited alongside, same era.
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
Jakob Nikolas Kather, Johannes Krisam, Pornpimol Charoentong, Tom Luedde, Esther Herpel, Cleo-Aron Weis, Timo Gaiser, Alexander Marx, Nektarios A Valous, Dyke Ferber, et al · 2019
Patch-based system for classification of breast histology images using deep learning
Kaushiki Roy, Debapriya Banik, Debotosh Bhattacharjee, and Mita Nasipuri · 2019
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Artificial intelligence—the third revolution in pathology
Manuel Salto-Tellez, Perry Maxwell, and Peter Hamilton · 2019
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Translational ai and deep learning in diagnostic pathology
Ahmed Serag, Adrian Ion-Margineanu, Hammad Qureshi, Ryan McMillan, Marie-Judith Saint Martin, Jim Diamond, Paul O’Reilly, and Peter Hamilton · 2019
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Billion-scale semi-supervised learning for image classification
I Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, and Dhruv Mahajan · 2019
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Histopathology workforce survey 2018, 2018
Royal College of Pathologists · 2020
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Cited alongside, same era.