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Detection of Ground Glass Nodules in Human Lungs Using Lungs CT Scans Images

Author : Pareesha Aggarwal and Rishi Kumar

Pages : 484-487
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In designing the computer aided detection systems, the segmentation of image, one of the image processing techniques plays a vital role and if the computer tomography (CT) images are used as input for such systems the results achieved are positive. This paper presents a proof of such statements that the Computer aided detection system based on segmentation techniques applied on CT images gives better results. In this paper we have provided the results of a Pulmonary Nodule Detection System which is based on segmentation of CT images of lungs to further detect the location of the nodule. In this paper we have briefly discussed the steps involved in designing the proposed pulmonary Nodule detection system and the results obtained after applying these steps have also been discussed.

Keywords: CT, GGN, pulmonary nodule, Segmentation, Thresholding, False Positive Reduction


Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.2 (June- 2013)




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