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Chest X-ray is the most common test among medical imaging modalities.
Features of similarity
Amos Tversky · 1977
Earlier work this paper cites.
Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules
Junji Shiraishi, Shigehiko Katsuragawa, Junpei Ikezoe, Tsuneo Matsumoto, Takeshi Kobayashi, Ken-ichi Komatsu, Mitate Matsui, Hiroshi Fujita, Yoshie Kodera, and Kunio Doi · 2000
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Two public chest X-ray datasets for computer-aided screening of pulmonary diseases
Stefan Jaeger, Sema Candemir, Sameer Antani, Yì-Xiáng J Wáng, Pu-Xuan Lu, and George Thoma · 2014
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
Semantic segmentation using adversarial networks
Pauline Luc, Camille Couprie, Soumith Chintala, and Jakob Verbeek · 2016
Cited alongside, same era.
Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
SCAN: Structure correcting adversarial network for organ segmentation in chest X-rays
Nanqing Dong Wei Dai B, Zeya Wang, Xiaodan Liang, Hao Zhang, and Eric P Xing · 2018
Cited alongside, same era.
Attention U-Net: Learning where to look for the pancreas
Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, et al · 2018
Cited alongside, same era.
Diagnostic imaging dataset statistical release
NHS England and NHS Improvement · 2019
Later among the works it cites.
Instance segmentation of anatomical structures in chest radiographs
Jie Wang, Zhigang Li, Rui Jiang, and Zhen Xie · 2019
Later among the works it cites.
A novel focal Tversky loss function with improved attention U-Net for lesion segmentation
Nabila Abraham and Naimul Mefraz Khan · 2019
Later among the works it cites.
An effective approach for CT lung segmentation using mask region-based convolutional neural networks
Qinhua Hu, Luís Fabrício de F Souza, Gabriel Bandeira Holanda, Shara SA Alves, Francisco Hércules dos S Silva, Tao Han, and Pedro P Rebouças Filho · 2020
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