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Classification of cervical neoplasms on colposcopic photography using deep learning.
Cho, Bum-Joo; Choi, Youn Jin; Lee, Myung-Je; Kim, Ju Han; Son, Ga-Hyun; Park, Sung-Ho; Kim, Hong-Bae; Joo, Yeon-Ji; Cho, Hye-Yon; Kyung, Min Sun; Park, Young-Han; Kang, Byung Soo; Hur, Soo Young; Lee, Sanha; Park, Sung Taek.
Afiliación
  • Cho BJ; Department of Ophthalmology, Hallym University Sacred Heart Hospital, 22, Gwanpyeong-ro 170beon-gil, Dongan-gu, Anyang-si, Gyeonggi-do, 14068, Republic of Korea. bjcho8@gmail.com.
  • Choi YJ; Medical Artificial Intelligence Center, Hallym University Medical Center, Anyang, Republic of Korea. bjcho8@gmail.com.
  • Lee MJ; Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Republic of Korea. bjcho8@gmail.com.
  • Kim JH; Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea. bjcho8@gmail.com.
  • Son GH; Department of Obstetrics and Gynecology, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Park SH; College of Medicine, Cancer Research Institute, The Catholic University of Korea, Seoul, Republic of Korea.
  • Kim HB; Medical Artificial Intelligence Center, Hallym University Medical Center, Anyang, Republic of Korea.
  • Joo YJ; Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Cho HY; Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea.
  • Kyung MS; Department of Obstetrics and Gynecology, Hallym University Kangnam Sacred Heart Hospital, 1, Shingil-ro, Yeongdeungpo-gu, Seoul, 07441, Republic of Korea.
  • Park YH; Department of Obstetrics and Gynecology, Hallym University Kangnam Sacred Heart Hospital, 1, Shingil-ro, Yeongdeungpo-gu, Seoul, 07441, Republic of Korea.
  • Kang BS; Department of Obstetrics and Gynecology, Hallym University Kangnam Sacred Heart Hospital, 1, Shingil-ro, Yeongdeungpo-gu, Seoul, 07441, Republic of Korea.
  • Hur SY; Department of Obstetrics and Gynecology, Hallym University Kangnam Sacred Heart Hospital, 1, Shingil-ro, Yeongdeungpo-gu, Seoul, 07441, Republic of Korea.
  • Lee S; Department of Obstetrics and Gynecology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea.
  • Park ST; Department of Obstetrics and Gynecology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea.
Sci Rep ; 10(1): 13652, 2020 08 12.
Article en En | MEDLINE | ID: mdl-32788635
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Displasia del Cuello del Útero / Neoplasias del Cuello Uterino / Diagnóstico por Computador / Redes Neurales de la Computación / Colposcopía / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Displasia del Cuello del Útero / Neoplasias del Cuello Uterino / Diagnóstico por Computador / Redes Neurales de la Computación / Colposcopía / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido