Keyword [Semi-Automatic] [Polygon-RNN]

Castrejon L, Kundu K, Urtasun R, et al. Annotating object instances with a polygon-rnn[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017: 5230-5238.

Keyword [Shufflenet]

Zhang X, Zhou X, Lin M, et al. Shufflenet: An extremely efficient convolutional neural network for mobile devices[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 6848-6856.

Keyword [Multi-Scale]

Cheng G, Gao D, Liu Y, et al. Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification[C]//IJCAI. 2018: 649-655.

Keyword [Pairwise Ranking]

Li Y, Song Y, Luo J. Improving pairwise ranking for multi-label image classification[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 3617-3625.8.

Keyword [ChestX-ray14]

Wang X, Peng Y, Lu L, et al. Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 9049-9058.

Keyword [ChestX-ray14]

Sedai S, Mahapatra D, Ge Z, et al. Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images[C]//International Workshop on Machine Learning in Medical Imaging. Springer, Cham, 2018: 26

Keyword [PA View & AP View] [Lateral X-ray] [MIMIC-CXR]

Rubin J, Sanghavi D, Zhao C, et al. Large scale automated reading of frontal and lateral chest x-rays using dual convolutional neural networks[J]. arXiv preprint arXiv:1804.07839, 2018.

Keyword [ChestX-ray14]

Kumar P, Grewal M, Srivastava M M. Boosted cascaded convnets for multilabel classification of thoracic diseases in chest radiographs[C]//International Conference Image Analysis and Recognition. Springer, Cham, 2018: 546-552.

Keyword [ChestX-ray14]

Zhou B, Li Y, Wang J. A weakly supervised adaptive densenet for classifying thoracic diseases and identifying abnormalities[J]. arXiv preprint arXiv:1807.01257, 2018.

Keyword [ChestX-ray14] [Attention]

Guan Q, Huang Y, Zhong Z, et al. Diagnose like a radiologist: Attention guided convolutional neural network for thorax disease classification[J]. arXiv preprint arXiv:1801.09927, 2018.