Analysis of Deep Learning based Optimization Techniques for Oral Cancer Detection

The main aim is to examine the application of deep learning technique in detecting oral cancer at an early stage. The focus is on evaluating the performance of various optimization techniques to deep learning technique through analyzing images of the mouth and throat for oral cancer detection. The goal is to determine the most effective method for identifying oral cancer and gain insights into potential improvements. The importance of early detection of oral cancer cannot be overstated, as it plays a crucial role in improving patient outcomes through earlier treatment and higher survival rates. The findings have the potential to contribute to the development of more accurate and efficient methods for oral cancer diagnosis and make a positive impact in the field.