Boundary detection of renal using contour segmentation Online publication date: Mon, 03-Sep-2018
by R. Gomalavalli; S. Muttan; P.M. Venkata Sai
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 28, No. 1, 2018
Abstract: In this paper, an active method for computer-aided renal segmentation on abdominal Computed Tomography (CT) images with anatomic building attention is presented. The proposed segmentation system is considered to assist the medical practitioners in clinics and learning methodology. The planned method is a common sound segmentation of renal. The major elements of the proposed system are (i) detect and check the objects; (ii) region of interest of renal location is detected; (iii) determination of Dice similarity coefficient (≤1) degree of accuracy is acquired; (iii) novel work is to verify whether the neighbouring organs are alarmed or not (DSC <0.8501); and (iv) statistical quality measurement of boundary is done. This is a compatible method to avoid clinical needle biopsy. To overcome the limitations present in most of the cases, Active Contour Detection method is applied. The qualitative examination on 52 patients indicates the average comparison of 76.2% between the segmentation methods.
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