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Deep learning for histopathology has been successfully used for disease classification, image segmentation and more.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio · 2015
Earlier work this paper cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Earlier work this paper cites.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
Earlier work this paper cites.
Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2020
Earlier work this paper cites.
Feature difference makes sense: a medical image captioning model exploiting feature difference and tag information
Hyeryun Park, Kyungmo Kim, Jooyoung Yoon, Seongkeun Park, and Jinwook Choi · 2020
Cited alongside, same era.
Evaluating and interpreting caption prediction for histopathology images
Renyu Zhang, Christopher Weber, Robert Grossman, and Aly A Khan · 2020
Cited alongside, same era.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
Cited alongside, same era.
Multiple instance captioning: Learning representations from histopathology textbooks and articles
Jevgenij Gamper and Nasir Rajpoot · 2021
Cited alongside, same era.
Data-efficient and weakly supervised computational pathology on whole-slide images
Ming Y Lu, Drew FK Williamson, Tiffany Y Chen, Richard J Chen, Matteo Barbieri, and Faisal Mahmood · 2021
Cited alongside, same era.
Is attention explanation? an introduction to the debate
Adrien Bibal, Rémi Cardon, David Alfter, Rodrigo Wilkens, Xiaoou Wang, Thomas François, and Patrick Watrin · 2022
Later among the works it cites.
Scaling vision transformers to gigapixel images via hierarchical self-supervised learning
Richard J Chen, Chengkuan Chen, Yicong Li, Tiffany Y Chen, Andrew D Trister, Rahul G Krishnan, and Faisal Mahmood · 2022
Later among the works it cites.
Is attention interpretation? a quantitative assessment on sets
Jonathan Haab, Nicolas Deutschmann, and María Rodríguez Martínez · 2022
Later among the works it cites.
Inference of captions from histopathological patches
Masayuki Tsuneki and Fahdi Kanavati · 2022
Later among the works it cites.
Visual language pretrained multiple instance zero-shot transfer for histopathology images
Ming Y Lu, Bowen Chen, Andrew Zhang, Drew FK Williamson, Richard J Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, and Faisal Mahmood · 2023
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