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Asbestosis diagnosis algorithm combining the lung segmentation method and deep learning model in computed tomography image.

Autor: Min Kim H; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea; Department of Biomedicine and Health Sciences, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea., Ko T; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea., Young Choi I; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea; Department of Biomedicine and Health Sciences, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea. Electronic address: iychoi@catholic.ac.kr., Myong JP; Department of Occupational and Environment Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea. Electronic address: dr_mjp@naver.com.

Publikováno v: International journal of medical informatics [Int J Med Inform] 2021 Dec 20; Vol. 158, pp. 104667. Date of Electronic Publication: 2021 Dec 20.