Autonomous Segmentation and Modeling of Brain Pathological Findings Based on Iterative Segmentation from MR Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10242680" target="_blank" >RIV/61989100:27240/19:10242680 - isvavai.cz</a>
Alternative codes found
RIV/62690094:18450/19:50015950
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-14802-7_28" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14802-7_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-14802-7_28" target="_blank" >10.1007/978-3-030-14802-7_28</a>
Alternative languages
Result language
angličtina
Original language name
Autonomous Segmentation and Modeling of Brain Pathological Findings Based on Iterative Segmentation from MR Images
Original language description
This paper deals with the design of an automated algorithm for segmentation and modeling pathological areas of MR brain imaging data. For segmentation purposes was used namely active contouring method in MATLAB. The proposed algorithm was tested on a dataset of 21 MR frames. This work also deals with the comparison efficiency of preprocessing image to improve segmentation results and subsequently testing and verifying the proposed algorithm for real image data. (C) 2019, Springer Nature Switzerland AG.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11432
ISBN
978-3-030-14801-0
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
324-335
Publisher name
Springer
Place of publication
Cham
Event location
Jogdžakarta
Event date
Apr 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000493319700027