Automatic creation of annotations for chest radiographs based on the positional information extracted from radiographic image reports

Author:

Wang BowenORCID,Takeda ToshihiroORCID,Sugimoto Kento,Zhang Jiahao,Wada Shoya,Konishi Shozo,Manabe Shirou,Okada Katsuki,Matsumura Yasushi

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference27 articles.

1. Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases;Xiaosong;Proc. CVPR,2017

2. SDFN: segmentation-based deep fusion network for thoracic disease classification in chest X-ray images;Liu;Comput. Med. Imaging Graph.,2021

3. Cai, J., Iterative attention mining for weakly supervised thoracic disease pattern localization in chest x-rays. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2018.

4. Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs;Tang,2018

5. Yao, L., et al. Weakly Supervised Medical Diagnosis And Localization From Multiple Resolutions. arXiv preprint arXiv:1803.07703 (2018).

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