3D ROC analysis for medical imaging diagnosis

Su Wang, Chein I. Chang, Sheng Chih Yang, Giu Cheng Hsu, Hsian He Hsu, Pau Choo Chung, Shu Mei Guo, San Kan Lee

研究成果: Conference contribution

11 引文 斯高帕斯(Scopus)

摘要

Receiver operating characteristics (ROC) has been widely used as a performance evaluation tool to measure effectiveness of medical modalities. It is derived from a standard detection theory with false alarm and detection power interpreted as false positive (FP) and true positive (TP) respectively in terms of medical diagnosis. The ROC curve is plotted based on TP versus FP via hard decisions. This paper presents a three dimensional (3D) ROC analysis which extends the traditional two-dimensional (2D) ROC analysis by including a threshold parameter in a third dimension resulting from soft decisions, (SD). As a result, a 3D ROC curve can be plotted based on three parameters, TP, FP and SD. By virtue of such a 3D ROC curve three two-dimensional (2D) ROC curves can be derived, one of which is the traditional 2D ROC curve of TP versus FP with SD reduced to hard decision. In order to illustrate its utility in medical diagnosis, its application to magnetic resonance (MR) image classification is demonstrated.

原文English
主出版物標題Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
頁面7545-7548
頁數4
出版狀態Published - 2005 十二月 1
事件2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
持續時間: 2005 九月 12005 九月 4

出版系列

名字Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
7 VOLS
ISSN(列印)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
國家/地區China
城市Shanghai
期間05-09-0105-09-04

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 生物醫學工程
  • 電腦視覺和模式識別
  • 健康資訊學

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