Weakly supervised breast lesion detection in DCE-MRI using self-transfer learning.

Sun, Rong; Zhang, Xiaobing; Xie, Yuanzhong; Nie, Shengdong

Sun, Rong; Zhang, Xiaobing; Xie, Yuanzhong; Nie, Shengdong.

Afiliación

Sun R; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Zhang X; Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xie Y; Medical Imaging Center, Taian Center Hospital, Shandong, China.
Nie S; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.

Med Phys ; 50(8): 4960-4972, 2023 Aug.

Article en En | MEDLINE | ID: mdl-36820793

Asunto(s)

Neoplasias de la Mama; Humanos; Femenino; Neoplasias de la Mama/diagnóstico por imagen; Mama/diagnóstico por imagen; Imagen por Resonancia Magnética; Redes Neurales de la Computación; Aprendizaje Automático

Palabras clave

DCE-MRI; breast tumor; lesion detection; self-transfer learning; weakly supervised learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Med Phys Año: 2023 Tipo del documento: Article País de afiliación: China

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