Detection and Classification of Bone Tumor from X-Ray Images Using CNN Algorithm

Abstract

The most prevalent form of bone cancer is osteosarcoma. The potential for early identification to enhance treatment approaches and enhance patient outcomes is enormous, highlighting the importance of technology developments in medical diagnostics. We suggest a Convolution Neural Networks (CNNs) based computer-aided diagnosis system for identifying osteosarcoma on radiographs of the bones. The image's potentially tumor-containing regions are indicated by the CNN Algorithm. We suggest splitting the image into windows and using a CNN algorithm to categorize each window separately in order to identify these locations on the image. Using the CNN Algorithm, the features are taken out of the picture windows.