Integrating deep learning and clinical characteristics for early prediction of endometrial cancer using multimodal ultrasound imaging: a multicenter study

Integrating deep learning and clinical characteristics for early prediction of endometrial cancer using multimodal ultrasound imaging: a multicenter study

BackgroundEndometrial cancer (EC) is one of the most prevalent malignancies affecting the female reproductive system. It poses significant health risks to women and imposes a substantial economic burden on healthcare systems. Early and accurate diagnosis is critical for improving patient outcomes. W...

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Bibliographic Details
Main Authors: Cuiyan Lin, Wanming Chen, Jichuang Lai, Jieyi Huang, Xiaolu Ye, Sijia Chen, Xinmin Guo, Yichun Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
endometrial cancer
predictive model
ultrasound imaging
clinical risk factors
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1600242/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1600242/full

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