Combination machine learning algorithms for computer-aided detection, review and diagnosis

A method of reviewing medical images and clinical data to generate a diagnosis or treatment decision, comprising:

• receiving, at a computer-aided detection (CAD) system, the medical images and clinical data;
• processing, by the CAD system, the medical images and clinical data;
• to generate initial finding candidates;
• clustering, by the CAD system, the initial finding candidates into a plurality of groups;
• classifying, by the CAD system, the initial finding candidates into one or more categories using machine learning algorithms integrated into the CAD system and combined classifiers;
• assessing, by the CAD system, one or more categories of the initial finding candidates using type 2 fuzzy logic;
• determining, by the CAD system, detection and assessment statistics based on at least the assessed categories and classified findings using Bayesian probability analysis;
• modifying, by the CAD system, the classified findings and assessed categories based on additional interactive input;
• and
• generating the diagnosis or treatment decision based on the determined detection, assessment statistics, and the additional interactive input.