Patent ID: 8503747

Claim:
A process for detection and diagnosis of cancer in tissues, comprising: acquiring polarized and non-polarized images of said tissues; normalizing said images to account for color and spatial variations; registering said images to correct for tissue deformation; generating an anatomical features map from said images using color and texture information; identifying regions in said images of different tissue types based on said anatomical features map, whereby each region has only one tissue type; segmenting sub-regions within each region that are homogeneous in color and intensity; extracting diagnostically relevant features from each of said sub-regions, wherein said diagnostically relevant features are selected from the group consisting of acetowhitening and abnormal blood vessel features; and classifying said sub-regions as normal or abnormal based on said extracted diagnostically relevant features in said sub-regions and probabilistic dependencies based on classification of neighboring regions; wherein said extracting diagnostically relevant features step for acetowhitening is performed by calculating mean, standard deviation, entropy and ratios between different color channels of said images of said tissue.