Optimized Feature Selection and Image Processing Based Machine Learning Technique for Lung Cancer Detection

The primary contributor to lung cancer is an abnormal proliferation of cells. Tobacco usage and smoking cigarettes are the contributors development cancer. most common forms fall into two distinct types. Non-small-cell cancers small-cell subtypes A computed tomography, or CT, scan essential diagnostic technique that may determine kind a patient has, its stage, location any metastases, degree which it has spread other organs. Other tools include biopsies pathology tests. creation algorithms allow computers gain information abilities by seeing interacting with world around them core emphasis field machine learning. This article demonstrates how detect via use learning using improved feature selection image processing. Image quality be help CLAHE algorithm. K Means used in order segment picture component components. In traits beneficial, PSO algorithm utilised. photos then categorised SVM, ANN, KNN respectively. It uses images obtained from CT scan. When comes detecting cancer, SVM provides more accurate results.