Academic radiology
Pixel-level Radiomics and Deep Learning for Predicting Ki-67 Expression in Breast Cancer Based on Dual-modal Ultrasound Images.
Wei Wei, Fei Xia, Di Zhang, Wang Zhou, Xinjin Wang, Yu Gao, Wenwu Lu, Huijun Feng, Chaoxue Zhang
Published: 202610.1016/j.acra.2025.12.047
Abstract
RATIONALE AND OBJECTIVES: This study aimed to develop a deep learning model using a novel pixel-level radiomics approach based on two-dimensional (2D) and strain elastography (SE) ultrasound images to predict Ki-67 expression in breast cancer (BC). M…
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