Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides.

Xu, Feng; Zhu, Chuang; Tang, Wenqi; Wang, Ying; Zhang, Yu; Li, Jie; Jiang, Hongchuan; Shi, Zhongyue; Liu, Jun; Jin, Mulan

Xu, Feng; Zhu, Chuang; Tang, Wenqi; Wang, Ying; Zhang, Yu; Li, Jie; Jiang, Hongchuan; Shi, Zhongyue; Liu, Jun; Jin, Mulan.

Afiliação

Xu F; Department of Breast Surgery, Beijing Chao-Yang Hospital, Beijing, China.
Zhu C; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Tang W; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Wang Y; Department of Pathology, Beijing Chao-Yang Hospital, Beijing, China.
Zhang Y; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Li J; Department of Breast Surgery, Beijing Chao-Yang Hospital, Beijing, China.
Jiang H; Department of Breast Surgery, Beijing Chao-Yang Hospital, Beijing, China.
Shi Z; Department of Pathology, Beijing Chao-Yang Hospital, Beijing, China.
Liu J; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Jin M; Department of Pathology, Beijing Chao-Yang Hospital, Beijing, China.

Front Oncol ; 11: 759007, 2021.

Article em En | MEDLINE | ID: mdl-34722313

Palavras-chave

axillary lymph node metastasis; breast cancer; core-needle biopsy; deep learning; whole-slide images

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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