On Validation of Algorithms for Dynamic Medical Data Separation

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00399689" target="_blank" >RIV/67985556:_____/13:00399689 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
On Validation of Algorithms for Dynamic Medical Data Separation
Popis výsledku v původním jazyce
The problem of dynamic medical image sequence separation is studied. We introduced the state of the art algorithms for medical sequence decomposition together with those that are proposed by us. The validation and the comparison of the algorithms are nontrivial and challenging task. We propose to use a synthetic data where a ground truth is available so it is possible to compute a significant statistics for comparison reason. Moreover, we proposed a comparison on 99 real data from renal scintigraphy where relative renal functions are automatically computed and compared with those obtained by physician.
Název v anglickém jazyce
On Validation of Algorithms for Dynamic Medical Data Separation
Popis výsledku anglicky
The problem of dynamic medical image sequence separation is studied. We introduced the state of the art algorithms for medical sequence decomposition together with those that are proposed by us. The validation and the comparison of the algorithms are nontrivial and challenging task. We propose to use a synthetic data where a ground truth is available so it is possible to compute a significant statistics for comparison reason. Moreover, we proposed a comparison on 99 real data from renal scintigraphy where relative renal functions are automatically computed and compared with those obtained by physician.

Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Podobné výsledky(10)