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MS-ANet: deep learning for automated multi-label thoracic disease detection and classification

Xu, J; Li, H; Li, X

Li, X (corresponding author), Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen, Guangdong, Peoples R China.

PEERJ COMPUTER SCIENCE, 2021; ():

Abstract

The chest X-ray is one of the most common radiological examination types for the diagnosis of chest diseases. Nowadays, the automatic classification t......

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