Active Contour Neural Network Identifying MRI Image Edge Computing Methods Deep Learning Bone Cancer Detection

Bone cancer is a terrible disease that kills a lot of people. To identify cancer at an early stage, a system of detection and categorization is required provided. Early detection appears to be the sole element that improves the chances of a cancer patient's survival. One of the most difficult aspects of clinical diagnosis is cancer classification. This research discusses a system that employs techniques for detecting tumours and classifying cancer in images MRimages of various patients using an artificial neural network algorithm. The purpose of this test is to find out if you have bone cancer, the proposed methodology employs edge recognition and segmentation methods are examples of computer vision algorithms, and preprocessing procedures such as filtering and grey conversion, detection, integration, and semantic segmentation.