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Convolutional neural networks can be trained to perform histology slide classification using weak annotations with multiple instance learning (MIL).
Atypical ductal hyperplasia: interobserver and intraobserver variability
Rohit K Jain, Rutika Mehta, Rosen Dimitrov, Lisbeth G Larsson, Paul M Musto, Kurt B Hodges, Thomas M Ulbright, Eyas M Hattab, Narasimhan Agaram, Muhammad T Idrees, and et al · 2011
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Breast image feature learning with adaptive deconvolutional networks
Andrew R Jamieson, Karen Drukker, and Maryellen L Giger · 2012
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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Geert Litjens, Clara I Sánchez, Nadya Timofeeva, Meyke Hermsen, Iris Nagtegaal, Iringo Kovacs, Christina Hulsbergen-Van De Kaa, Peter Bult, Bram Van Ginneken, and Jeroen Van Der Laak · 2016
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Pixel recurrent neural networks
Aaron Van Oord, Nal Kalchbrenner, and Koray Kavukcuoglu · 2016
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Conditional image generation with pixelcnn decoders
Aaron Van den Oord, Nal Kalchbrenner, Lasse Espeholt, Oriol Vinyals, Alex Graves, et al · 2016
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End-to-end training for whole image breast cancer diagnosis using an all convolutional design
Li Shen · 2017
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Detecting cancer metastases on gigapixel pathology images
Yun Liu, Krishna Kumar Gadepalli, Mohammad Norouzi, George Dahl, Timo Kohlberger, Subhashini Venugopalan, Aleksey S Boyko, Aleksei Timofeev, Philip Q Nelson, Greg Corrado, et al · 2017
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Rotation equivariant cnns for digital pathology
Bastiaan S Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, and Max Welling · 2018
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Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
Babak Ehteshami Bejnordi, Maeve Mullooly, Ruth M Pfeiffer, Shaoqi Fan, Pamela M Vacek, Donald L Weaver, Sally Herschorn, Louise A Brinton, Bram van Ginneken, Nico Karssemeijer, et al · 2018
Cited alongside, same era.
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
Nicolas Coudray, Paolo Santiago Ocampo, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl, David Fenyö, Andre L Moreira, Narges Razavian, and Aristotelis Tsirigos · 2018
Cited alongside, same era.
Attention-based deep multiple instance learning
Maximilian Ilse, Jakub Tomczak, and Max Welling · 2018
Cited alongside, same era.
Cluster-based learning from weakly labeled bags in digital pathology
Shazia Akbar and Anne L Martel · 2018
Deep convolutional neural networks for breast cancer histology image analysis
Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, and Alexandr A. Kalinin · 2018
Later among the works it cites.
Classification of breast cancer histology using deep learning
Aditya Golatkar, Deepak Anand, and Amit Sethi · 2018
Later among the works it cites.
Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module
Yun Jiang, Li Chen, Hai Zhang, and Xiao Xiao · 2019
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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella, Matthew G Hanna, Luke Geneslaw, Allen Miraflor, Vitor Werneck Krauss Silva, Klaus J Busam, Edi Brogi, Victor E Reuter, David S Klimstra, and Thomas J Fuchs · 2019
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Data-efficient image recognition with contrastive predictive coding
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Cited alongside, same era.
Representation learning with contrastive predictive coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
Cited alongside, same era.
Smooth loss functions for deep top-k classification
Leonard Berrada, Andrew Zisserman, and M Pawan Kumar · 2018
Cited alongside, same era.
Her2 challenge contest: A detailed assessment of automated her2 scoring algorithms in whole slide images of breast cancer tissues
Nasir Rajpoot and Talha Qaiser
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Olivier J. Hénaff, Ali Razavi, Carl Doersch, S. M. Ali Eslami, and Aäron van den Oord · 2019
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BACH: Grand challenge on breast cancer histology images
Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, Mohammed Safwan, Varghese Alex, Bahram Marami, Marcel Prastawa, Monica Chan, Michael Donovan, Gerardo Fernandez, Jack Zeineh, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak, Sameh Galal, Veronica Sanchez-Freire, Nadia Brancati, Maria Frucci, Daniel Riccio, Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang, Ismael Kone, Lahsen Boulmane, Aurélio Campilho, Catarina Eloy, António Polónia, and Paulo Aguiar · 2019
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