Development and Validation of a Deep Learning Radiomics Model Predicting Lymph Node Status in Operable Cervical Cancer

Aim: To develop and validate a deep learning radiomics model, which could predict the lymph node metastases preoperatively in cervical cancer patients. Patients and methods: We included a cohort of 226 pathological proven operable cervical cancer patients in two academic medical institutions from De...

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Detalles Bibliográficos
Autores principales: Dong, Taotao, Yang, Chun, Cui, Baoxia, Zhang, Ting, Sun, Xiubin, Song, Kun, Wang, Linlin, Kong, Beihua, Yang, Xingsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179686/
https://www.ncbi.nlm.nih.gov/pubmed/32373511
http://dx.doi.org/10.3389/fonc.2020.00464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179686/
https://www.ncbi.nlm.nih.gov/pubmed/32373511
http://dx.doi.org/10.3389/fonc.2020.00464

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