Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches.

Zhang, Jiadong; Wu, Jiaojiao; Zhou, Xiang Sean; Shi, Feng; Shen, Dinggang

Zhang, Jiadong; Wu, Jiaojiao; Zhou, Xiang Sean; Shi, Feng; Shen, Dinggang.

Afiliación

Zhang J; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Wu J; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
Zhou XS; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
Shi F; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China. Electronic address: feng.shi@uii-ai.com.
Shen D; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China; Shanghai Clinical Research and Trial Center, Shanghai, China. Electronic address: dgshen@shanghaitech.edu.cn.

Semin Cancer Biol ; 96: 11-25, 2023 11.

Article en En | MEDLINE | ID: mdl-37704183

Asunto(s)

Neoplasias de la Mama; Humanos; Femenino; Neoplasias de la Mama/diagnóstico por imagen; Inteligencia Artificial; Pronóstico; Mamografía; Multiómica; Mama

Palabras clave

Artificial intelligence; Breast cancer; Deep learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal Asunto principal: Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Semin Cancer Biol Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: China

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