Multiple Step of Image Processing and ANN for Diagnosing Lung Diseases: Review Study

Abstract

One of the critical physical ailments in recent years is lung cancer. Basically, it is caused by the initiation of rampant malignant abnormal cells grown in either both lungs or in one of them. The fatality rate that happens due to lung cancer is highest and is considered the leading cause of mortality out of all types of cancers. It is crucial to identify the ailment at the initial stage of the numerous types of cancer as it critical, to provide a higher survival rate for cancer sufferers. Hence, it is imperative for innovative techniques to be constructed. There were numerous soft computation methods utilized recently to identify the cancerous cells derived from medical image to provide an uncomplicated design, with minimal cost, no time consuming, and lastly offer positive outcomes to patients, specifically for patients in remote locations, with ordinary doctors (not specialist) to execute amazing activities to diagnose ailments. The current research introduces and compare between various review techniques and methods to categorize and diagnose pulmonary cancer ailments.