Deep Learning Model for Lung Cancer Detection On CT Scan Image

The lung cancer disease is the disease of lung which can affect human health. The interstitial lung disease is diagnosed in different phases such to pre-process the image, segment it, extract the features and classify the data. The various machine learning models are proposed for the interstitial lung disease detection. The segmentation algorithms can be categorized into threshold and region-based segmentation. The feature algorithms are broadly classified into color and textural features algorithms. This work suggests DL model for the lung disease prediction. Python is executed for simulating the suggested model and results are analyzed concerning accuracy, precision, and recall.