可解释性
乳腺癌
超声波
医学
癌症
人工智能
深度学习
放射科
计算机科学
医学物理学
内科学
作者
Yao Chen,Peilin Wang,Jing Ouyang,Miduo Tan,L. S. Nie,Bob Zhang,Tong Wang
出处
期刊:Analytical Methods
[The Royal Society of Chemistry]
日期:2025-01-01
卷期号:17 (27): 5704-5713
摘要
An interpretable deep learning model (BIScreener) was proposed for predicting BI-RADS classifications from breast ultrasound images, aiding in the accurate assessment of breast cancer risk and improving diagnostic efficiency.
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