Development and validation of a predictive model combining clinical, radiomics, and deep transfer learning features for lymph node metastasis in early gastric cancer

BACKGROUND: This study aims to develop and validate a predictive model combining deep transfer learning, radiomics, and clinical features for lymph node metastasis (LNM) in early gastric cancer (EGC). MATERIALS AND METHODS: This study retrospectively collected 555 patients with EGC, and randomly div...

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Detalles Bibliográficos
Autores principales: Zeng, Qingwen, Li, Hong, Zhu, Yanyan, Feng, Zongfeng, Shu, Xufeng, Wu, Ahao, Luo, Lianghua, Cao, Yi, Tu, Yi, Xiong, Jianbo, Zhou, Fuqing, Li, Zhengrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573999/
https://www.ncbi.nlm.nih.gov/pubmed/36262277
http://dx.doi.org/10.3389/fmed.2022.986437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573999/
https://www.ncbi.nlm.nih.gov/pubmed/36262277
http://dx.doi.org/10.3389/fmed.2022.986437

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