Oral Cancer Detection in its Nascent Stages Using 3D CNN: A Survey

Abstract—oral cavity cancer also called squamous cell carcinoma is the sixth most frequent overall, it a rising public health concern that spreading across globe. If not detected in earlier stages, might be severe generally, and underlying lesions induce it. Therefore, difficult to locate lesion area if cured its nascent reach stage IV cancer, metastatic stage. To come up with solution, we tend use three- dimensional CNN processes malignancies image data 3DCNN structures classify benign aggressive oral tumors. By identifying kind of tumor region susing various kinds knowledge here on periodic alterations enhancers, was utilized Test visual categorization improvement rates. Analyzed, categorized, future study areas are identified. The datasets review articles covered detail, as pre- processing methods, deep learning frameworks employed, etc. It presents comparison same. Index Terms—Oral Cancer, Oral lesions, Cavity, 3D CNN, Pre-processing, tumors, malignant, deep-learning