Review of Different Techniques for Automatic Detection of Oral Cell Carcinoma
Abstract
Worldwide Oral cancer is sixth most common cancer. As half of the patients of Oral Cancer are detected at advanced stages, the overall detection of oral cancer is not that much good. With the help of advanced technology and different machine learning algorithms it is possible to detect oral cancer earlier. As per literature survey , texture map based branch collaborative network is providing good accuracy and deep learning is showing high potential potential in for multi-class grading of the most common oral carcinoma