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Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers' Health Examination Data.
Heo, Seok-Jae; Kim, Yangwook; Yun, Sehyun; Lim, Sung-Shil; Kim, Jihyun; Nam, Chung-Mo; Park, Eun-Cheol; Jung, Inkyung; Yoon, Jin-Ha.
Affiliation
  • Heo SJ; Department of Biostatistics and Computing, Yonsei University Graduate School, Seoul 03722, Korea. lbthinking91@gmail.com.
  • Kim Y; The Institute for Occupational Health, Yonsei University College of Medicine, Seoul 03722, Korea. nor5teo23@yuhs.ac.
  • Yun S; The Institute for Occupational Health, Yonsei University College of Medicine, Seoul 03722, Korea. yunsehyun@yuhs.ac.
  • Lim SS; The Institute for Occupational Health, Yonsei University College of Medicine, Seoul 03722, Korea. lssmail@yuhs.ac.
  • Kim J; The Institute for Occupational Health, Yonsei University College of Medicine, Seoul 03722, Korea. jihyun0924@yuhs.ac.
  • Nam CM; Department of Biostatistics and Computing, Yonsei University Graduate School, Seoul 03722, Korea. cmnam@yuhs.ac.
  • Park EC; Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Korea. cmnam@yuhs.ac.
  • Jung I; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. ecpark@yuhs.ac.
  • Yoon JH; Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Korea. ijung@yuhs.ac.
Article in En | MEDLINE | ID: mdl-30654560

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis, Pulmonary / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Int J Environ Res Public Health Year: 2019 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis, Pulmonary / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Int J Environ Res Public Health Year: 2019 Type: Article