Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest
X-ray Images

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images

20 September 2018

Papers citing "Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images"

18 / 18 papers shown

Title
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs Pulkit Kumar Monika Grewal Muktabh Mayank Srivastava 45 113 0 23 Nov 2017
Thoracic Disease Identification and Localization with Limited Supervision Zhe Li Chong Wang Mei Han Yuan Xue Wei Wei Li Li F. Li 62 329 0 17 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 78 2,699 0 14 Nov 2017
Learning to diagnose from scratch by exploiting dependencies among labels L. Yao Eric Poblenz Dmitry Dagunts Ben Covington D. Bernard Kevin Lyman 62 334 0 28 Oct 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 156 2,522 0 05 May 2017
Detecting Cancer Metastases on Gigapixel Pathology Images Yun-Hui Liu Krishna Gadepalli Mohammad Norouzi George E. Dahl Timo Kohlberger ... Phil Q. Nelson G. Corrado J. Hipp L. Peng Martin C. Stumpe MedIm LM&MA 67 641 0 03 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 640 10,768 0 19 Feb 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge A. Setio A. Traverso Thomas de Bel Moira S. N. Berens C. V. D. Bogaard ... Jef Vandemeulebroucke N. Walasek G. Zuidhof Bram van Ginneken Colin Jacobs 84 1,076 0 23 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 762 36,781 0 25 Aug 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 733 37,843 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 455 43,277 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 315 18,609 0 06 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 447 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,509 0 01 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 441 16,940 0 20 Dec 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 178 4,949 0 06 Oct 2013

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