A Transfer Learning Radiomics Nomogram for Preoperative Prediction of Borrmann Type IV Gastric Cancer From Primary Gastric Lymphoma

OBJECTIVE: This study aims to differentiate preoperative Borrmann type IV gastric cancer (GC) from primary gastric lymphoma (PGL) by transfer learning radiomics nomogram (TLRN) with whole slide images of GC as source domain data. MATERIALS AND METHODS: This study retrospectively enrolled 438 patient...

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Detalles Bibliográficos
Autores principales: Feng, Bao, Huang, Liebin, Liu, Yu, Chen, Yehang, Zhou, Haoyang, Yu, Tianyou, Xue, Huimin, Chen, Qinxian, Zhou, Tao, Kuang, Qionglian, Yang, Zhiqi, Chen, Xiangguang, Chen, Xiaofeng, Peng, Zhenpeng, Long, Wansheng
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/PMC8789309/
https://www.ncbi.nlm.nih.gov/pubmed/35087761
http://dx.doi.org/10.3389/fonc.2021.802205

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789309/
https://www.ncbi.nlm.nih.gov/pubmed/35087761
http://dx.doi.org/10.3389/fonc.2021.802205

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