A prediction model based on deep learning and radiomics features of DWI for the assessment of microsatellite instability in endometrial cancer

A prediction model based on deep learning and radiomics features of DWI for the assessment of microsatellite instability in endometrial cancer

Abstract Background To explore the efficacy of a prediction model based on diffusion‐weighted imaging (DWI) features extracted from deep learning (DL) and radiomics combined with clinical parameters and apparent diffusion coefficient (ADC) values to identify microsatellite instability (MSI) in endom...

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Bibliographic Details
Main Authors: Jing Wang, Pujiao Song, Meng Zhang, Wei Liu, Xi Zeng, Nanshan Chen, Yuxia Li, Minghua Wang
Format: Article
Language:English
Published: Wiley 2024-08-01
Series:Cancer Medicine
Subjects:
deep learning
diffusion‐weighted imaging
endometrial cancer
microsatellite instability
radiomics
Online Access:https://doi.org/10.1002/cam4.70046
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https://doi.org/10.1002/cam4.70046

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