Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F13%3A00397669" target="_blank" >RIV/68081731:_____/13:00397669 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.2478/msr-2013-0034" target="_blank" >http://dx.doi.org/10.2478/msr-2013-0034</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/msr-2013-0034" target="_blank" >10.2478/msr-2013-0034</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images
Original language description
This work focuses on fully automatic detection of brain tumors. The first aim is to determine, whether the image contains a brain with a tumor, and if it does, localize it. The goal of this work is not the exact segmentation of tumors, but the localization of their approximate position. The test database contains 203 T2-weighted images of which 131 are images of healthy brain and the remaining 72 images contain brain with pathological area. The estimation, whether the image shows an afflicted brain andwhere a pathological area is, is done by multi resolution symmetry analysis. The first goal was tested by five-fold cross-validation technique with 100 repetitions to avoid the result dependency on sample order. This part of the proposed method reaches the true positive rate of 87.52% and the true negative rate of 93.14% for an afflicted brain detection. The evaluation of the second part of the algorithm was carried out by comparing the estimated location to the true tumor location. The
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Measurement Science Review
ISSN
1335-8871
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
5
Country of publishing house
SK - SLOVAKIA
Number of pages
8
Pages from-to
223-230
UT code for WoS article
000326683300001
EID of the result in the Scopus database
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