Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data

Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data

Abstract This study integrates ultrasound Radiomics with clinical data to enhance the diagnostic accuracy of HER-2 expression status in breast cancer, aiming to provide more reliable treatment strategies for this aggressive disease. We included ultrasound images and clinicopathologic data from 210 f...

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Bibliographic Details
Main Authors: Meijuan Hu, Lianying Zhang, Xiao Wang, Xuehua Xiao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Breast cancer
HER-2
Ultrasound radiomics
Machine learning
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-12825-7
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https://doi.org/10.1038/s41598-025-12825-7

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