Oral Tumor Detection based on Convolution Neural Network

Mouth cancer that is thriving in the world continuously. The discovery of oral possibly harmful problems, which convey a gamble of forming into disease, frequently gives the best opportunities to restoring the infection and is thusly essential for further developing bleakness furthermore, mortality results from oral malignant growth. The use of an effective method for extracting features from an image is the goal of this study. In image processing, the purpose of the feature extraction technique is to represent the image in its unique and compact form of single values or matrix vectors. Automatic feature extraction from an image without any processing is known as low level feature extraction. The intention of this research is to progress a convolution neural network (CNN) for the detection of oral tumour, which can accurately classify images of oral tumor and can assist in early diagnosis.