Computer-Aided Diagnosis in Lung Cancer Detection: A Review

Abstract

The greatest cause of death for both men and women globally is lung cancer. This is mostly because it manifests no symptoms at first and is only identified at a late stage, when the patient's condition has already gotten worse. Typically, a skilled lung expert will thoroughly examine CT scans to make the diagnosis of lung cancer. Finding and interpreting abnormalities on a CT scan can be quite challenging, even for highly skilled medical professionals. In order to help doctors identify malignant cells, a lot of research is being done in the area of computer-aided diagnosis (CAD) of lung cancer. This study's main goal is to examine some CAD methods that have been used to diagnose lung cancer.