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Computational histopathology has made significant strides in the past few years, slowly getting closer to clinical adoption.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Deep captioning with multimodal recurrent neural networks (m-rnn)
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, and Alan Yuille · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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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
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Patch-based convolutional neural network for whole slide tissue image classification
Le Hou, Dimitris Samaras, Tahsin M Kurc, Yi Gao, James E Davis, and Joel H Saltz · 2016
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Image analysis and machine learning in digital pathology: Challenges and opportunities, 2016
Anant Madabhushi and George Lee · 2016
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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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Classifying and segmenting microscopy images with deep multiple instance learning
Oren Z Kraus, Jimmy Lei Ba, and Brendan J Frey · 2016
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Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation
Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, and Ronald M Summers · 2016
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Deep learning for classification of colorectal polyps on whole-slide images
Bruno Korbar, Andrea M Olofson, Allen P Miraflor, Catherine M Nicka, Matthew A Suriawinata, Lorenzo Torresani, Arief A Suriawinata, and Saeed Hassanpour · 2017
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Comprehensive computational pathological image analysis predicts lung cancer prognosis
Xin Luo, Xiao Zang, Lin Yang, Junzhou Huang, Faming Liang, Jaime Rodriguez-Canales, Ignacio I Wistuba, Adi Gazdar, Yang Xie, and Guanghua Xiao · 2017
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Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Babak Ehteshami Bejnordi, Mitko Veta, Paul Johannes Van Diest, Bram Van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen AWM Van Der Laak, Meyke Hermsen, Quirine F Manson, Maschenka Balkenhol, et al · 2017
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On the automatic generation of medical imaging reports
Baoyu Jing, Pengtao Xie, and Eric Xing · 2017
Cited alongside, same era.
Mdnet: A semantically and visually interpretable medical image diagnosis network
Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, and Lin Yang · 2017
Cited alongside, same era.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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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Entangled transformer for image captioning
Guang Li, Linchao Zhu, Ping Liu, and Yi Yang · 2019
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Attention on attention for image captioning
Lun Huang, Wenmin Wang, Jie Chen, and Xiao-Yong Wei · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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Meshed-memory transformer for image captioning
Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, and Rita Cucchiara · 2020
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Simvlm: Simple visual language model pretraining with weak supervision
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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.
Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
Joel Saltz, Rajarsi Gupta, Le Hou, Tahsin Kurc, Pankaj Singh, Vu Nguyen, Dimitris Samaras, Kenneth R Shroyer, Tianhao Zhao, Rebecca Batiste, et al · 2018
Cited alongside, same era.
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Jason W Wei, Laura J Tafe, Yevgeniy A Linnik, Louis J Vaickus, Naofumi Tomita, and Saeed Hassanpour · 2019
Cited alongside, same era.
Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides
Arkadiusz Gertych, Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Szczepan Cierniak, Hootan Salemi, Samuel Guzman, Ann E Walts, and Beatrice S Knudsen · 2019
Cited alongside, same era.
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, and Yuan Cao · 2021
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From show to tell: A survey on image captioning
Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Silvia Cascianelli, Giuseppe Fiameni, and Rita Cucchiara · 2021
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Multiple instance captioning: Learning representations from histopathology textbooks and articles
Jevgenij Gamper and Nasir Rajpoot · 2021
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https://cloud.google.com/translate/automl/docs/evaluate#interpretation , 2022
Evaluating models | understanding the bleu score | interpretation · 2022
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