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

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 Dec...

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Bibliographic Details
Main Authors: Taotao Dong, Chun Yang, Baoxia Cui, Ting Zhang, Xiubin Sun, Kun Song, Linlin Wang, Beihua Kong, Xingsheng Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Oncology
Subjects:
cervical cancer
deep learning
radiomics
lymph node status
deep neural network
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00464/full

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https://www.frontiersin.org/article/10.3389/fonc.2020.00464/full

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