Detecting Cancer in Gastrointestinal Images using MATLAB

This paper deals with the detection of cancer from gastrointestinal images. Cancer detection is the most adequate field of implementation in bio-medical domains. At first, the several capabilities have been recognized to automate the process of identification of cancer and also upscale the accuracy rates over alternative diagnostic techniques. The methods that presently exist to diagnose cancer are not working constructively on all kinds of images, especially poor-quality images such as images with too much noise. And also, most of the available techniques have completely ignored the effective use of object segmentation in gastrointestinal images. So, to subdue the limitations of previous techniques, a new approach has been proposed in this paper. Impressive results have been generated by using the features of image processing in MATLAB with the help of images from kvasir dataset. The image processing techniques used for diagnostic test pictures might facilitate the sight of distinctive options in cancer detection.