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 |