Parameter Optimized, Vertical, Nearest-Neighbor-Vote and Boundary-Based Classification (RFT-203)
This invention involves a Computer Aided Detection (CAD) model that is designed to diagnose Pulmonary Embolism (PE) from CT image information data sheet. This high performance, classification system, includes a Nearest Neighbor Vote based classification and a Local Decision Boundary based classification combined with an evolutionary algorithm for parameter optimization and a vertical data structure for efficient processing. The invention was developed as a solution for the ACM KDD Cup Competition 2006, and won task 3 of that competition.
Henry Nowak, Technology Manager
RFT, 203, RFT203
Inquire about this technology >