Your browser doesn't support javascript.
loading
Improved classification and localization approach to small bowel capsule endoscopy using convolutional neural network.
Hwang, Yunseob; Lee, Han Hee; Park, Chunghyun; Tama, Bayu Adhi; Kim, Jin Su; Cheung, Dae Young; Chung, Woo Chul; Cho, Young-Seok; Lee, Kang-Moon; Choi, Myung-Gyu; Lee, Seungchul; Lee, Bo-In.
Afiliação
  • Hwang Y; Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea.
  • Lee HH; Postech-Catholic Biomedical Engineering Institute, Pohang University of Science and Technology (POSTECH), Pohang, Korea.
  • Park C; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Tama BA; Postech-Catholic Biomedical Engineering Institute, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Kim JS; Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea.
  • Cheung DY; Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea.
  • Chung WC; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Cho YS; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Lee KM; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Choi MG; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Lee S; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Lee BI; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Dig Endosc ; 33(4): 598-607, 2021 May.
Article em En | MEDLINE | ID: mdl-32640059
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Endoscopia por Cápsula / Aprendizado Profundo Limite: Humans Idioma: En Revista: Dig Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Endoscopia por Cápsula / Aprendizado Profundo Limite: Humans Idioma: En Revista: Dig Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2021 Tipo de documento: Article