2. The method of claim 1 , wherein processing the medical images and clinical data comprises: segmenting a region of interest from a background; normalizing the region of interest; filtering the normalized region of interest; and generating the initial finding candidates from the normalized region of interest.
1. 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.