Medical Image Analysis of Lung Tumor Diagnosis Based on Generalized Fuzzy C-Means Clustering Algorithm

Abstract In recent years, the rapid development of medical imaging technology has brought image analysis into era big data. CT is one most common methods for disease screening. This paper introduces lung tumor diagnosis based on Generalized fuzzy c - means clustering algorithm was proposed. Brief introduce to diagnose tumors requires a huge workload, which often accompanied by long-term reading and subjective evaluation. The experimental data comes from 15 patient samples include two groups are selected as test objects. result shows positive rate high, resulting in misdiagnosis. addition, great success deep learning field computer vision made it possible realize computer-aided screening cancer.