A deep learning-based model for screening and staging pneumoconiosis

Zhang, LZ; Rong, RC; Li, QW; Yang, DHM; Yao, B; Luo, DN; Zhang, X; Zhu, XF; Luo, J; Liu, YQ; Yang, XY; Ji, X; Liu, ZD; Xie, Y; Sha, Y; Li, ZM; Xiao, GH

Li, ZM (corresponding author), Shenzhen Prevent & Treatment Ctr Occupat Dis, Shenzhen, Guangdong, Peoples R China.; Xiao, GH (corresponding author), Univ Texas Southwestern Med Ctr Dallas, Quantitat Biomed Res Ctr, Dept Populat & Data Sci, Dallas, TX 75390 USA.; Li, ZM (corresponding author), Shenzhen Assoc Occupat Hlth, Shenzhen, Guangdong, Peoples R China.

SCIENTIFIC REPORTS, 2021; 11 (1):

Abstract

This study aims to develop an artificial intelligence (AI)-based model to assist radiologists in pneumoconiosis screening and staging using chest radi......

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