Identify Cancer in Affected Bronchopulmonary Lung Segments Using Gated-SCNN Modelled with RPN

In this research, a Gated-SCNN is modelled with the Region Proposal Network (RPN) to identify cancerous CT lung images. The model is based on the principle of passing CT image scans via a double gateway. By doing so, the bronchopulmonary lung segments are isolated and identified with the help of the VGG RPN model, and cancer clusters are identified with the help of an IPS-QPSO model. The output of the two gateways containing CT Scans of segments and cancer clusters are concatenated/gated to produce the final required output.