title: Statistical comparison of color cancer cell images.
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.
authors.affiliation: Dartmouth Medical School, Lebanon, NH 03756, USA. eugene.demidenko@dartmouth.edu
authors.forename: Eugene
authors.initials: E
authors.lastname: Demidenko
mesh_terms: D000818:Animals; D003110:Colonic Neoplasms / Q000473:pathology*; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data*; D051379:Mice; D015999:Multivariate Analysis