3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.

Park, Ga Eun; Kim, Sung Hun; Nam, Yoonho; Kang, Junghwa; Park, Minjeong; Kang, Bong Joo

Park, Ga Eun; Kim, Sung Hun; Nam, Yoonho; Kang, Junghwa; Park, Minjeong; Kang, Bong Joo.

Afiliación

Park GE; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kim SH; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Nam Y; Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea.
Kang J; Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea.
Park M; Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea.
Kang BJ; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

J Magn Reson Imaging ; 2023 Aug 19.

Article en En | MEDLINE | ID: mdl-37596823

Palabras clave

breast cancer; deep learning; segmentation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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