A Deep Learning Radiomics Nomogram to Predict Response to Neoadjuvant Chemotherapy for Locally Advanced Cervical Cancer: A Two-Center Study

A Deep Learning Radiomics Nomogram to Predict Response to Neoadjuvant Chemotherapy for Locally Advanced Cervical Cancer: A Two-Center Study

<b>Purpose:</b> This study aimed to establish a deep learning radiomics nomogram (DLRN) based on multiparametric MR images for predicting the response to neoadjuvant chemotherapy (NACT) in patients with locally advanced cervical cancer (LACC). <b>Methods:</b> Patients with LA...

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Bibliographic Details
Main Authors: Yajiao Zhang, Chao Wu, Zhibo Xiao, Furong Lv, Yanbing Liu
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Diagnostics
Subjects:
deep learning
radiomics nomogram
locally advanced cervical cancer
neoadjuvant chemotherapy
Online Access:https://www.mdpi.com/2075-4418/13/6/1073

Internet

https://www.mdpi.com/2075-4418/13/6/1073

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