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Lung cancer is the leading cause of cancer-related death worldwide.
The perceptron: a probabilistic model for information storage and organization in the brain
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Theoretical foundations of the potential function method in pattern recognition learning
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An introduction to roc analysis
Tom Fawcett · 2006
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Zero-data learning of new tasks
Hugo Larochelle, Dumitru Erhan, and Yoshua Bengio · 2008
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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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Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
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The evolving role of histology in the management of advanced non–small-cell lung cancer
Corey J Langer, Benjamin Besse, Antonio Gualberto, Elizabeth Brambilla, and Jean-Charles Soria · 2010
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Computational pathology: challenges and promises for tissue analysis
Thomas J Fuchs and Joachim M Buhmann · 2011
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Zero-shot learning through cross-modal transfer
Richard Socher, Milind Ganjoo, Christopher D Manning, and Andrew Ng · 2013
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Non-small-cell lung cancer
Cesare Gridelli, Antonio Rossi, David P Carbone, Juliana Guarize, Niki Karachaliou, Tony Mok, Francesco Petrella, Lorenzo Spaggiari, and Rafael Rosell · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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The 2015 world health organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification
William D Travis, Elisabeth Brambilla, Andrew G Nicholson, Yasushi Yatabe, John HM Austin, Mary Beth Beasley, Lucian R Chirieac, Sanja Dacic, Edwina Duhig, Douglas B Flieder, et al · 2015
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Lung Cancer
F. Nasim, B. F. Sabath, and G. A. Eapen · 2019
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The visual task adaptation benchmark
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, Andre Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, et al · 2019
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Language models are few-shot learners
Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
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Revisiting unreasonable effectiveness of data in deep learning era
Chen Sun, Abhinav Shrivastava, Saurabh Singh, and Abhinav Gupta · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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The biology and management of non-small cell lung cancer
Roy S Herbst, Daniel Morgensztern, and Chris Boshoff · 2018
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The 2015 world health organization classification of lung tumors: new entities since the 2004 classification
MC Mengoli, FR Longo, F Fraggetta, A Cavazza, A Dubini, G Ali, F Guddo, E Gilioli, G Bogina, N Nannini, et al · 2018
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Lung and colon cancer histopathological image dataset (lc25000)
Andrew A Borkowski, Marilyn M Bui, L Brannon Thomas, Catherine P Wilson, Lauren A DeLand, and Stephen M Mastorides · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Alex Zwanenburg, Martin Vallières, Mahmoud A Abdalah, Hugo JWL Aerts, Vincent Andrearczyk, Aditya Apte, Saeed Ashrafinia, Spyridon Bakas, Roelof J Beukinga, Ronald Boellaard, et al · 2020
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Transformer interpretability beyond attention visualization
Hila Chefer, Shir Gur, and Lior Wolf · 2021
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang · 2021
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Imagenet-21k pretraining for the masses
Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy, and Lihi Zelnik-Manor · 2021
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Revisiting the transferability of supervised pretraining: an mlp perspective
Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, and Wanli Ouyang · 2021
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le · 2021
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A golden decade of deep learning: Computing systems & applications
Jeffrey Dean · 2022
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