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Reseach Article

Kidney Tumor Segmentation and Classification on Abdominal CT Scans

by Bansari Shah, Charmi Sawla, Shraddha Bhanushali, Poonam Bhogale
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 9
Year of Publication: 2017
Authors: Bansari Shah, Charmi Sawla, Shraddha Bhanushali, Poonam Bhogale
10.5120/ijca2017913691

Bansari Shah, Charmi Sawla, Shraddha Bhanushali, Poonam Bhogale . Kidney Tumor Segmentation and Classification on Abdominal CT Scans. International Journal of Computer Applications. 164, 9 ( Apr 2017), 1-5. DOI=10.5120/ijca2017913691

@article{ 10.5120/ijca2017913691,
author = { Bansari Shah, Charmi Sawla, Shraddha Bhanushali, Poonam Bhogale },
title = { Kidney Tumor Segmentation and Classification on Abdominal CT Scans },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 9 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number9/27508-2017913691/ },
doi = { 10.5120/ijca2017913691 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:49.795087+05:30
%A Bansari Shah
%A Charmi Sawla
%A Shraddha Bhanushali
%A Poonam Bhogale
%T Kidney Tumor Segmentation and Classification on Abdominal CT Scans
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 9
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper, deals with systematic study of simple segmentation and classification algorithms for kidney tumor using Computed Tomography images. Tumors are of different types having different characteristics and also have different treatment. It becomes very important to detect the tumor and classify it at the early stage so that appropriate treatment can be planned. This CT scans are visually examined by the physician for detection and diagnosis of kidney tumor. However this method lacks accuracy and detection of size of the tumor. So to overcome this, a computer aided segmentation technique has been proposed, which extracts the tumor part from the kidney, further on which feature extraction method is performed for extracting certain features and the type of tumor i.e. malignant or benign is displayed by using simple classifiers .

References
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Index Terms

Computer Science
Information Sciences

Keywords

Pre-processing Fuzzy C-means Grey Level Co-occurrence Matrix K Nearest Neighbour classifier Support Vector Machine classifier