医学
乳腺癌
异常(物理)
癌症
癌症检测
异常检测
放射科
乳腺摄影术
人工智能
内科学
凝聚态物理
计算机科学
物理
作者
Felipe Oviedo,Anum S. Kazerouni,Philipp Liznerski,Yixi Xu,Michael Hirano,Robert A. Vandermeulen,Marius Kloft,Elyse Blum,Adam Alessio,Christopher I. Li,William B. Weeks,Rahul Dodhia,Juan Lavista Ferres,Habib Rahbar,Savannah C. Partridge
出处
期刊:Radiology
[Radiological Society of North America]
日期:2025-07-01
卷期号:316 (1): e241629-e241629
被引量:11
标识
DOI:10.1148/radiol.241629
摘要
An anomaly detection model for breast cancer on MRI scans achieved high performance, surpassing binary classification in high- and low-cancer-prevalence scenarios and producing explanation heat maps not significantly different from radiologist annotations.
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