An enhancement of computer aided approach for colon cancer detection in WCE images using ROI based color histogram and SVM2

摘要

The authors describe a method to process the information gathered in wireless capsule endoscopy (WCE) images and ultimately determine whether a region of interest (ROI) is benign, malignant, or normal. The patient swallows the WCE device, which has a complementary metal-oxide-semiconductor (CMOS) sensor that can be used to gather digital images as it passes through the patient's digestive system. The authors estimate the device can gather a total of 50000 digital images. Human analysis of these images can be tedious and time-consuming. The authors describe a procedure where these WCE images can undergo machine processing.