Abstract

Cancer is one of the leading causes of death in developing countries. Cancers are of different types like breast cancer, lung cancer, skin cancer and so on. Oral Cancer is one of the types of cancers. Oral cancer is a very common type of cancer. This Oral Cancer is observed in both males as well as females. It is a big challenge to detect Oral Cancer. This is a time consuming process in medical image processing. Detection and prevention of oral cancer at early stage is critical. But it increases the chances of survival. This work presents the detection of oral cancers using Image Processing. Clinical images which are RGB images and microscopic images are used as the input image for detection of cancer. At first, Gabor filter is used to remove noise from the images. This is used for image enhancement in image preprocessing step. Genetic Algorithm is used to extract the features of tumors from the enhanced image. GA is used for segmentation of image. The proposed algorithm provides better segmentation. Genetic Programming (GP), is a computation technique that can evolve better solutions for image classification problems. Rasika Joat | Dr. A. P. Thakare | Dr. Ketaki Kalele | Dr. Viashali Thakare"Genetic Programming Approach for Oral Cancer Detection and its Image Restoration" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12787.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/12787/genetic-programming-approach-for-oral-cancer-detection-and-its-image-restoration/rasika-joat

Authors and Affiliations