Brain Tumor DWIs: Comparing the Results of Manual and Computer-Based Evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU125748" target="_blank" >RIV/00216305:26220/17:PU125748 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/PIERS-FALL.2017.8293440" target="_blank" >http://dx.doi.org/10.1109/PIERS-FALL.2017.8293440</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIERS-FALL.2017.8293440" target="_blank" >10.1109/PIERS-FALL.2017.8293440</a>
Alternative languages
Result language
angličtina
Original language name
Brain Tumor DWIs: Comparing the Results of Manual and Computer-Based Evaluation
Original language description
The article is focused on the segmentation of pathology in brain tissue derived from diffusion weighted images. The authors describe two approaches of segmentation. The first approach is based on support vector machine classification and the second on manual segmentation. Segmentation was performed on four types of images that have been derived from calculation of ADC (apparent diffusion coefficient) map (Trace, Fraction Anisotropy, Volume Ratio, and Mean of All B0s). Segmented data was analyzed statistically to compare two researched approaches of segmentation. Additionally, the article investigates the most valuable type of processed images for detection and classification of pathologic tissue – tumor
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
20201 - Electrical and electronic engineering
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
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), 2017
ISBN
978-1-5386-1211-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1857-1861
Publisher name
IEEE
Place of publication
Singapore
Event location
Singapore
Event date
Nov 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000428518301162