Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer

Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer

Abstract Applying deep learning algorithms to mine ultrasound features of breast cancer and construct a machine learning model that accurately predicts Ki-67 expression level. This multi-center retrospective study analyzed clinical and ultrasound data from 929 breast cancer patients. We integrated d...

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Bibliographic Details
Main Authors: Qishan Cen, Man Wang, Siying Zhou, Hong Yang, Ye Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Breast cancer
Ki-67
Ultrasound imaging
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-94741-4
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https://doi.org/10.1038/s41598-025-94741-4

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