| 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 |