Development and validation of clinical-radiomics deep learning model based on MRI for endometrial cancer molecular subtypes classification

Development and validation of clinical-radiomics deep learning model based on MRI for endometrial cancer molecular subtypes classification

Abstract Objectives This study aimed to develop and validate a clinical-radiomics deep learning (DL) model based on MRI for endometrial cancer (EC) molecular subtypes classification. Methods This multicenter retrospective study included EC patients undergoing surgery, MRI, and molecular pathology di...

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Bibliographic Details
Main Authors: Wenyi Yue, Ruxue Han, Haijie Wang, Xiaoyun Liang, He Zhang, Hua Li, Qi Yang
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Insights into Imaging
Subjects:
Endometrial cancer
Molecular subtypes
Radiomics
Deep learning
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s13244-025-01966-y
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https://doi.org/10.1186/s13244-025-01966-y

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