[Next-generation diagnostic pathology].

Bian, X W; Zhang, P P; Ping, Y F; Yao, X H

Bian, X W; Zhang, P P; Ping, Y F; Yao, X H.

Afiliación

Bian XW; Institute of Pathology, Southwest Hospital, Third Military Medical University(Army Medical University)/Key Laboratory of Tumor Immunopathology, Ministry of Education, Chongqing 400038, China.
Zhang PP; Department of Pathology/Intelligent Pathology Institue, the First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China.
Ping YF; Institute of Pathology, Southwest Hospital, Third Military Medical University(Army Medical University)/Key Laboratory of Tumor Immunopathology, Ministry of Education, Chongqing 400038, China.
Yao XH; Institute of Pathology, Southwest Hospital, Third Military Medical University(Army Medical University)/Key Laboratory of Tumor Immunopathology, Ministry of Education, Chongqing 400038, China.

Zhonghua Bing Li Xue Za Zhi ; 51(1): 3-6, 2022 Jan 08.

Article en Zh | MEDLINE | ID: mdl-34979745

Asunto(s)

Inteligencia Artificial; Biología Computacional; China; Humanos; Patología Molecular

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Biología Computacional Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Bing Li Xue Za Zhi Año: 2022 Tipo del documento: Article País de afiliación: China

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