An Automatic Liver Segmentation Algorithm Based on Grow Cut and Level Sets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919549" target="_blank" >RIV/49777513:23520/13:43919549 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1134/S1054661813040147" target="_blank" >http://dx.doi.org/10.1134/S1054661813040147</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1134/S1054661813040147" target="_blank" >10.1134/S1054661813040147</a>

Result language

angličtina

Original language name

An Automatic Liver Segmentation Algorithm Based on Grow Cut and Level Sets

Original language description

Organ segmentation is often a first step in medical diagnostic. In this paper a fully automatic three?dimensional method for liver segmentation is presented. It is based on voxel density analysis with use of automated grow cut method. Obtained segmentation is then refined by active contours model.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

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

Name of the periodical

Pattern Recognition and Image Analysis

ISSN

1054-6618

e-ISSN

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Volume of the periodical

23

Issue of the periodical within the volume

4

Country of publishing house

DE - GERMANY

Number of pages

6

Pages from-to

502-507

UT code for WoS article

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EID of the result in the Scopus database

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