Integrated approach for bone tumor detection from MRI scan imagery
Krupali D. Mistry, Bijal Jigar Talati · 2016
A tumor is an abnormal growth of new tissue that can occur in any of the body's organs. In recent years, there are many kinds of tumors are detected in the human body like Breast tumor, Bone tumor, Brain tumor, etc. Which are detected manually by doctors, but because of noise and low quality images of infected body parts, the tumor is not detected easily and is time consuming. Medical Imaging technique is used to create human body images for medical and research work. MRI is the best technique to acquire images as it has higher resolutions. The paper proposes an approach of detecting Enchondroma bone tumor from MRI images by using image processing, segmentation clustering techniques, i.e. K-means integrated with Fuzzy C-means clustering. From the experimental results we get 98% accuracy.