Evaluation of Epidermal Growth Factor Receptor 2 Status in Gastric Cancer by CT-Based Deep Learning Radiomics Nomogram

PURPOSE: To explore the role of computed tomography (CT)-based deep learning and radiomics in preoperative evaluation of epidermal growth factor receptor 2 (HER2) status in gastric cancer. MATERIALS AND METHODS: The clinical data on gastric cancer patients were evaluated retrospectively, and 357 pat...

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Detalles Bibliográficos
Autores principales: Guan, Xiao, Lu, Na, Zhang, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309372/
https://www.ncbi.nlm.nih.gov/pubmed/35898877
http://dx.doi.org/10.3389/fonc.2022.905203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309372/
https://www.ncbi.nlm.nih.gov/pubmed/35898877
http://dx.doi.org/10.3389/fonc.2022.905203

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