Customizable Hardware Architecture of Support Vector Machine in CAD System for Colorectal Endoscopic Images with NBI Magnification

With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal cancer are increased, and the computer-aided diagnosis (CAD) system which supports doctor's diagnosis is essential. In this paper, a hardware design of type identification module in CAD system for colorectal endoscopic images with narrow band imaging (NBI) magnification [1] is proposed for real-time processing of full high definition (Full HD) image (1920 x 1080 pixel). In addition, in order to improve the identification accuracy for type B (TA: tubular adenoma) and type C3 (SM-m cancer), algorithms to realize a 3-class identification, which has high efficiency and high accuracy, is proposed.