Deep learning prediction model for central lymph node metastasis in papillary thyroid microcarcinoma based on cytology.

Ren, Wenhao; Zhu, Yanli; Wang, Qian; Song, Yuntao; Fan, Zhihui; Bai, Yanhua; Lin, Dongmei

Ren, Wenhao; Zhu, Yanli; Wang, Qian; Song, Yuntao; Fan, Zhihui; Bai, Yanhua; Lin, Dongmei.

Afiliación

Ren W; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
Zhu Y; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
Wang Q; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
Song Y; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Head and Neck Surgery, Peking University Cancer Hospital and Institute, Beijing, China.
Fan Z; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Ultrasound, Peking University Cancer Hospital and Institute, Beijing, China.
Bai Y; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
Lin D; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.

Cancer Sci ; 114(10): 4114-4124, 2023 Oct.

Article en En | MEDLINE | ID: mdl-37574759

Palabras clave

central lymph node metastasis; deep learning; liquid-based preparation; low-risk papillary thyroid microcarcinoma; whole slide image

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancer Sci Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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