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A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance.
Joo, Bio; Ahn, Sung Soo; Yoon, Pyeong Ho; Bae, Sohi; Sohn, Beomseok; Lee, Yong Eun; Bae, Jun Ho; Park, Moo Sung; Choi, Hyun Seok; Lee, Seung-Koo.
Afiliación
  • Joo B; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
  • Ahn SS; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea. SUNGSOO@yuhs.ac.
  • Yoon PH; Department of Radiology, National Health Insurance Service Ilsan Hospital, Goyang-si, Gyeonggi-do, Korea.
  • Bae S; Department of Radiology, National Health Insurance Service Ilsan Hospital, Goyang-si, Gyeonggi-do, Korea.
  • Sohn B; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
  • Lee YE; Department of Radiology, Hongik Hospital, Seoul, Korea.
  • Bae JH; DEEPNOID, Seoul, Korea.
  • Park MS; DEEPNOID, Seoul, Korea.
  • Choi HS; DEEPNOID, Seoul, Korea.
  • Lee SK; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
Eur Radiol ; 30(11): 5785-5793, 2020 Nov.
Article en En | MEDLINE | ID: mdl-32474633

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Aneurisma Intracraneal / Angiografía por Resonancia Magnética / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Aneurisma Intracraneal / Angiografía por Resonancia Magnética / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2020 Tipo del documento: Article