• B.Pooja
• N.Bhaskar
• Dr.Ganashree T.S

Early detection of lung cancer is the promising way of patient’s survival which can be recognize by using Computed Tomography (CT) which is the technique in the detection of lung nodule compared to other imaging techniques. With the advancement of medical technology Computer Aided Detection Schemes (CAD) are developed [2]. It provides higher accuracy and performance rate. Here the lung CT images are taken as input, based on the support vector machine (SVM) it helps the doctors to perform image analysis. This paper focuses a study concerning automatic detection of lung cancer nodules by different methods.

Lung Nodules, Detection, Segmentation, Connectivity Recognition, Active Contour Model and SVM Classifier

"A Survey on Detection of Lung Nodules in Ct Scans Using SVM Classifier and ACM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.204-208, March-2019, Available :http://www.jetir.org/papers/JETIRAR06046.pdf

"A Survey on Detection of Lung Nodules in Ct Scans Using SVM Classifier and ACM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp204-208, March-2019, Available at : http://www.jetir.org/papers/JETIRAR06046.pdf