Keyword [ChestX-ray14]

Yan C, Yao J, Li R, et al. Weakly supervised deep learning for thoracic disease classification and localization on chest x-rays[C]//Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. ACM, 2018: 103-110.

Keyword [ChestX-ray14]

Yao L, Poblenz E, Dagunts D, et al. Learning to diagnose from scratch by exploiting dependencies among labels[J]. arXiv preprint arXiv:1710.10501, 2017.

Keyword [ChestX-ray14] [CheXNet]

Rajpurkar P, Irvin J, Zhu K, et al. Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning[J]. arXiv preprint arXiv:1711.05225, 2017.

Keyword [ChestX-ray14]

Li Z, Wang C, Han M, et al. Thoracic disease identification and localization with limited supervision[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 8290-8299.

Keyword [ChestX-ray14] [PLCO]

Guendel S, Grbic S, Georgescu B, et al. Learning to recognize abnormalities in chest x-rays with location-aware dense networks[C]//Iberoamerican Congress on Pattern Recognition. Springer, Cham, 2018: 757-765.

Keyword [ChestX-ray14]

Wang H, Xia Y. Chestnet: A deep neural network for classification of thoracic diseases on chest radiography[J]. arXiv preprint arXiv:1807.03058, 2018.

Keyword [ChestX-ray14]

Li Z, Wang C, Han M, et al. Thoracic disease identification and localization with limited supervision[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 8290-8299.

Keyword [ChestX-ray14]

Wang X, Peng Y, Lu L, et al. Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 2097-2106.

Keyword [Pooling Indices] [SegNet]

Badrinarayanan V, Kendall A, Cipolla R. Segnet: A deep convolutional encoder-decoder architecture for image segmentation[J]. IEEE transactions on pattern analysis and machine intelligence, 2017, 39(12): 2481-2495.

Keyword [Mobilenet]

Howard A G, Zhu M, Chen B, et al. Mobilenets: Efficient convolutional neural networks for mobile vision applications[J]. arXiv preprint arXiv:1704.04861, 2017.