Support Vector Machine Algorithm for Effective Lung Cancer Detection Using Fuzzy Clusters

Tuberculosis is considered the main health threat in several parts of world. This ithe primary infectiousdisease causing this disease .When untreatedandundiagnosed, there ishigh mortalityrate patients.Thismethodincludes an automatic method to recognize tubersT his approach requires automated tuberculosis identification techniques reduce problematic illnesses. Extraction lung region first performed using Graph Cut segmentation system. We develop a collection properties including textures, shapes, etc. area lung. You must use SVM identify X-rays as normal or abnormal. The systematic system proposed for analyzing TB provides better performance than graph cut