A radiomics model based on diffusion-weighted imaging developed using machine learning enables prediction of microsatellite instability in endometrial cancer.

IF 3.2 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

BMC Medical Imaging Pub Date : 2025-10-08 DOI:10.1186/s12880-025-01944-2

Meng Zhang, Xuejia Wang, Zhong Li, Wenling Liu, Xuekun Li, Xingxing Jin, Jinxia Guo, Kaiyu Wang, Yuxia Li, Jipeng Ren

引用次数: 0

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利用机器学习开发的基于弥散加权成像的放射组学模型可以预测子宫内膜癌的微卫星不稳定性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

4.60

自引率

3.70%

发文量

198

审稿时长

27 weeks

期刊介绍： BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.