Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women

Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women

Abstract Background Current ultrasound-based screening for endometrial cancer (EC) primarily relies on endometrial thickness (ET) and morphological evaluation, which suffer from low specificity and high interobserver variability. This study aimed to develop and validate an artificial intelligence (A...

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Bibliographic Details
Main Authors: Yi-Xin Li, Yu Lu, Zhe-Ming Song, Yu-Ting Shen, Wen Lu, Min Ren
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Ultrasound
Machine learning
Convolutional neural networks
Deep learning
Radiomics
Endometrial cancer
Online Access:https://doi.org/10.1186/s12880-025-01705-1
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https://doi.org/10.1186/s12880-025-01705-1

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