A Comprehensive Review of Early Detection of Oral Cancer Using Deep Learning
S. Premalatha, K. Lakshmi Joshitha · 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) · 2022
Oral cancer is the widely witnessed and devastating disease formulating in a transient anticipation in their superior grade. There is a sudden progression in the vicinity of oral cancer imaging technologies that play a significant role in assessing and centralizing the novel perception of buccal cavity inspection and functioning. The image processing techniques have enhanced premature diagnosis and treatment phases of the threatening disease. The main objective is to evolve a systematic oral cancer prediction model utilizing the wholesum concept of classification by applying (FVI) Optical images, MRI and CT images. A hybrid classifier is used for classification purposes. The outcome from the classifier is used to label the input image as a benign and malignant cell. The execution of the suggested model can be calculated using measuring performance like accuracy, sensitivity and specificity.