Systems and methods for automatic detection and quantification of pathology using dynamic feature classification

A computer program product, comprising:

• a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising:
• instructions to receive, by an image scanner, an input image data scan of a subject;
• instructions to extract, by a processor, features from the input image data scan;
• instructions to determine, by the processor, using an elements dictionary and a classification model, one or more normal and/or abnormal pathology areas of the input image data scan based on the extracted features, wherein each pathology area comprises a cluster of pixels;
• instructions to generate, by the processor, a marked image data scan by marking each of the determined one or more pathology areas on the input image data scan with a visual identifier;
• instructions to compute, by the processor, one or more quantitative scores for the input image data scan based on a comparison of a number of regions classified as various categories of normal and/or abnormal with a number of regions tested;
• and
• instructions to store, by the processor, the marked image data scan and the one or more quantitative scores in a memory.