A hybrid segmentation approach based on Neutrosophic sets and modified watershed: A case of abdominal CT Liver parenchyma

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86099377" target="_blank" >RIV/61989100:27240/15:86099377 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/ICENCO.2015.7416339D" target="_blank" >http://dx.doi.org/10.1109/ICENCO.2015.7416339D</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICENCO.2015.7416339D" target="_blank" >10.1109/ICENCO.2015.7416339D</a>

Result language

angličtina

Original language name

A hybrid segmentation approach based on Neutrosophic sets and modified watershed: A case of abdominal CT Liver parenchyma

Original language description

Liver cancer is one of the most common internal malignancies worldwide and also one of the most leading death causes disease. Early detection and accurate staging of liver cancer is considered an important issue in practical radiology. In this paper, a hybrid segmentation approach based on the modified Watershed algorithm and Neutrosophic logics is proposed for liver segmentation from abdominal CT images. The proposed approach consists of three fundamental phases: (1) preprocessing, (2) CT image transformation to Neutrosophic domain and (3) post-processing phase. At preprocessing phase, histogram equalization and median filter are applied to enhance the contrast and intensity values of the liver CT image as well as removing the noise. The enhanced CT liver image is transformed and represented in the Neutrosophic set domain via three membership sets. Finally, at post-processing phase, mathematical morphology and modified watershed algorithm are used to enhance the obtained truth image produced from the previous phase and to extract liver from CT image. Several measurements are used to evaluate the performance of the proposed segmentation approach. It obtains overall accuracy almost 95%. Moreover, it compared with other approaches and achieves better results. (C) 2015 IEEE.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

—

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2015 11th International Computer Engineering Conference: Today Information Society What's Next?, ICENCO 2015

ISBN

978-1-5090-0275-7

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

144-149

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

New York

Event location

Káhira

Event date

Dec 29, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000378560500023