Statistical comparison of color cancer cell images
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- Published online on: April 1, 2006 https://doi.org/10.3892/or.15.4.1077
- Pages: 1077-1079
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Abstract
A proper analysis and comparison of medical images requires an objective criterion for image discrimination. We developed a statistical approach for color image comparison and showed how it can be applied to discriminate cancer histology images from four treatment groups. We applied a well-established multivariate analysis of variances (MANOVA) on the logit scale so that image comparison was reduced to the classic chi-square test.