Efficient and Highly Accurate Diagnosis of Malignant Hematological Diseases Based on Whole-Slide Images Using Deep Learning.

Wang, Chong; Wei, Xiu-Li; Li, Chen-Xi; Wang, Yang-Zhen; Wu, Yang; Niu, Yan-Xiang; Zhang, Chen; Yu, Yi

Wang, Chong; Wei, Xiu-Li; Li, Chen-Xi; Wang, Yang-Zhen; Wu, Yang; Niu, Yan-Xiang; Zhang, Chen; Yu, Yi.

Afiliação

Wang C; School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Wei XL; School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.
Li CX; Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
Wang YZ; School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.
Wu Y; Department of Hematology, Xinxiang First People's Hospital, Xinxiang, China.
Niu YX; School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.
Zhang C; Department of Hematology, Xinxiang First People's Hospital, Xinxiang, China.
Yu Y; Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.

Front Oncol ; 12: 879308, 2022.

Article em En | MEDLINE | ID: mdl-35756613

Palavras-chave

deep learning; digital pathology; hematological malignancies; hematopathology; weakly supervised

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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