Utilization of medical image soft segmentation based on fuzzy sets classification process modified by local aggregation approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241599" target="_blank" >RIV/61989100:27240/18:10241599 - isvavai.cz</a>

Result on the web

<a href="http://journal.utem.edu.my/index.php/jtec/article/view/3745/2618" target="_blank" >http://journal.utem.edu.my/index.php/jtec/article/view/3745/2618</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Utilization of medical image soft segmentation based on fuzzy sets classification process modified by local aggregation approach

Original language description

Medical image segmentation has been a challenging task for a long time. In the current age, we are overcrowded by medical image data acquired from various sources, such as CT, MR, ultrasound and many others. We usually need to perform segmentation, detection and extraction of objects of interest for further processing. This process includes quantification of parameters to determine a clinical evaluation. There are multiregional segmentation methods that allow for differentiation of individual morphological objects. However, the commonly used hard thresholding approaches lack of robustness in noisy environment leading to an incorrect pixel classification. Image segmentation based on fuzzy set theory brings much more effective alternative for image thresholding gained by local aggregation, making this method more noise resistive. We consciously performed a comparative analysis of articular cartilage and blood vessels segmentation. It was an obvious method utilization in which the native image features are badly recognizable and the objects features are well observed.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

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

Name of the periodical

Journal of Telecommunication, Electronic and Computer Engineering

ISSN

2180-1843

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

1-8

Country of publishing house

MY - MALAYSIA

Number of pages

5

Pages from-to

109-113

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85045181709