Radiologists' ability of using computer-aided diagnosis (CAD) to improve breast biopsy recommendations

被引:0
|
作者
Jiang, YL [1 ]
Nishikawa, RM [1 ]
机构
[1] Univ Chicago, Dept Radiol, Kurt Rossmann Labs Radiol Image Res, Chicago, IL 60637 USA
关键词
computer-aided diagnosis (CAD); medical decision-making; Observer performance study; diagnosis; breast cancer; mammography; digital mammography; clustered microcalcifications; classification; artificial neural networks (ANNs);
D O I
10.1117/12.349663
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
An important issue in developing computer-aided diagnosis (CAD) methods is to demonstrate the ability of a computer aid to improve diagnostic accuracy when used by radiologists. A related issue to that is to understand how radiologists' decision-making is influenced by the computer aid. We conducted an observer performance study designed to address these issues for a computerized classification scheme for malignant and benign clustered microcalcifications in mammograms. Results of the study showed that radiologists' diagnostic performance improved significantly when they used the computer aid. The results also showed that radiologists were able to incorporate the computer aid-a quantitative analysis of the mammogram-effectively in their decision-making.
引用
收藏
页码:56 / 60
页数:5
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