CanScan: Non-Invasive Techniques for Oral Cancer Detection

Oral cancer is a type of cancer that affects the mouth and surrounding areas. Early detection of oral cancer is crucial for successful treatment and can greatly improve patient outcomes. In recent years, advances in image processing, computer vision, and deep learning have enabled the development of effective methods for detecting oral cancer using images. These methods typically involve the use of sophisticated algorithms to analyze images of the mouth and surrounding areas in order to identify abnormalities that may indicate the presence of cancer. By leveraging the power of these techniques, it is possible to improve the accuracy and speed of oral cancer detection, leading to better patient care. Furthermore, these methods have the potential to be cost-effective and widely accessible, making them a promising tool for improving oral cancer detection and treatment.