Methods and Systems for Disease Classification

This invention describes methods and systems for use of computer vision systems for classification of biological cells as an aid in disease diagnostics. More particularly the present invention describes a process comprising employing a robust and discriminative color space which will help provide segmentation of the cells; employing a segmentation algorithm, such as a feature-based level set, that will be able to segment the cells using a different k-phase-segmentation process, which detect for example, if a while blood cell occurs for segmenting the internal components of the cell robustly; employing a combination of different type of features including shape, texture, and invariant information, and employing a classification step to associate abnormal cell characteristics with disease states.