A tumour is an irregular mass of cells and it can either be benign (non-cancerous) or malignant (cancerous). Disease alludes to cells that outgrow control and attack different tissues. One of the reasons for malignancy passing in person is Lung Cancer. Clinical therapy with drugs intended to target lungs disease cell to diminish the spread all through the body may likewise conceivable yet before this it is must to perceive the malignant growth at the beginning phase. Physically disease recognizable proof is tad of tedious so that with the progression of innovation, Several Computer Aided Diagnosis (CAD) frameworks are created for distinguishing cellular breakdown in the lungs in its beginning phase. In this paper inclination in detail literature survey on various techniques that have been used in feature extraction and classification with its obtain accuracy.

CAD, SIFT, SVM, ANN

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