Performance Studies for Validation of CAD Systems
作者： David G. Brown , Brandon D. Gallas
DOI: 10.1109/IJCNN.2007.4371412
关键词:
摘要: Evaluation of computational intelligence (CI) systems designed to improve the performance a human operator is complicated by necessity including effect variability. In this paper we examine methodology available for addressing variability within context medical imaging computer-assisted diagnosis (CAD) systems. We present review currently techniques and give an example using computer simulation. It shown how advanced statistical lead more efficient measures CAD performance.
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