Lung Cancer Detection using CT Scans: Image Processing through Deep Learning - A Review

Abstract

Lung cancer being one of the catastrophic diseases is haunting mankind from past seven decades. Unfortunately, early detection of lung cancer is unlikely, hence leading to highest mortality rates. However, various imaging modalities including Computed Tomography (CT) helps in detecting the lung cancer possible at the earliest. Processing such huge data of CT scans is highly time demanding and Computed Aided Diagnosis system (CAD)does a great job from image acquisition till the detection/classification of lung nodules through series of processing stages. This research study covers all the processing stages and major contributions in those stages. This study also summarizes various methods used in basic image processing through deep learning algorithms. A tabulation of various datasets and metrics descriptions is also discussed.