Bone Tumor Prediction using Machine Learning and Deep Learning

The human body comprises 206 bones that support movement and muscle attachment, with bone ligaments containing spongy bone marrow. Healthy cells are the birth place of bone cancer, forming tumors that can weaken bones and potentially spread. In the existing healthcare system, diagnosing bone tumors can be challenging and subjective, leading to misdiagnosis and delayed treatments. Radiologists often rely on manual interpretation, which is prone to human error and lacks consistency. By reducing misdiagnoses and facilitating early interventions, our Support Vector Machine (SVM) approach marks a substantial leap forward in the realm of bone tumor prediction, addressing limitations within the existing healthcare system.