Deep learning with test-time augmentation for radial endobronchial ultrasound image differentiation: a multicentre verification study

KAI-LUN YUTseng, Yi-ShiuanYi-ShiuanTsengYang, Han-ChingHan-ChingYangCHIA-JUNG LIUKuo, Po-ChihPo-ChihKuoMENG-RUI LEECHUN-TA HUANGLU-CHENG KUOJANN-YUAN WANGCHAO-CHI HOJIN-YUAN SHIHCHONG-JEN YU2023-09-042023-09-042023-082052-4439https://scholars.lib.ntu.edu.tw/handle/123456789/634958Despite the importance of radial endobronchial ultrasound (rEBUS) in transbronchial biopsy, researchers have yet to apply artificial intelligence to the analysis of rEBUS images.enbronchoscopy; lung cancer[SDGs]SDG3Deep learning with test-time augmentation for radial endobronchial ultrasound image differentiation: a multicentre verification studyjournal article10.1136/bmjresp-2022-001602375324732-s2.0-85166433956https://api.elsevier.com/content/abstract/scopus_id/85166433956