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Kidney Detection and its Size Estimation from CT Image

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dc.contributor.author Morshed, Shahriar Hossain
dc.contributor.author Sarker, Sudip
dc.date.accessioned 2018-08-19T09:48:49Z
dc.date.accessioned 2019-06-08T09:40:11Z
dc.date.available 2018-08-19T09:48:49Z
dc.date.available 2019-06-08T09:40:11Z
dc.date.issued 2018-05
dc.identifier.uri http://hdl.handle.net/20.500.11948/2924
dc.description.abstract Accurate estimation of kidney area is very much crucial for early detection of kidney disease. Abnormal size in kidney leads to CKD which leads to renal failure. Kidney area estimation from CT image relies on segmentation of the CT image and a segmentation free approach. In this paper we propose a method which require segmentation approach for determining the kidney size. We break down the process in two steps. First we segment the image in two slice where left and right kidney are on each slice based on the spine location of human. Then we use contour based shape finding to detect the kidney size. We tested this method over 40 CT image acquired from online data repository. This method shows very promising result en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject Kidney Detection en_US
dc.subject Kidney Size en_US
dc.subject CT Image en_US
dc.subject Daffodil International University en_US
dc.title Kidney Detection and its Size Estimation from CT Image en_US
dc.type Working Paper en_US


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