医学
分割
分类器(UML)
人工智能
模式识别(心理学)
放射科
多中心研究
病理
计算机科学
随机对照试验
作者
Wen-Chi Hsu,Yuli Wang,Yih R. Wu,Ruohua Chen,Shadi Afyouni,J. Liu,Somasundaram Vin,Victoria Shi,Maliha Imami,Jill Chotiyanonta,Ghazal Zandieh,Yeyu Cai,Jeffrey P. Leal,Kenichi Oishi,Atif Zaheer,Robert C. Ward,Paul J.L. Zhang,Jing Wu,Zhicheng Jiao,Ihab R. Kamel
出处
期刊:Radiology
[Radiological Society of North America]
日期:2025-08-01
卷期号:316 (2)
标识
DOI:10.1148/radiol.243412
摘要
Combining the Segment Anything Model with a deep learning classifier produced an efficient pipeline for classifying MRI ovarian lesions, improving segmentation speed and matching radiologists’ classification performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI