Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays

16 Jul 2018 Chaochao Yan Jiawen Yao Ruoyu Li Zheng Xu Junzhou Huang

Chest X-rays is one of the most commonly available and affordable radiological examinations in clinical practice. While detecting thoracic diseases on chest X-rays is still a challenging task for machine intelligence, due to 1) the highly varied appearance of lesion areas on X-rays from patients of different thoracic disease and 2) the shortage of accurate pixel-level annotations by radiologists for model training... (read more)

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