Feature Ensemble for Quantitative Analysis of Emphysema in CT imaging

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00309274" target="_blank" >RIV/68407700:21230/15:00309274 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/7391573/" target="_blank" >http://ieeexplore.ieee.org/document/7391573/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EHB.2015.7391573" target="_blank" >10.1109/EHB.2015.7391573</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Feature Ensemble for Quantitative Analysis of Emphysema in CT imaging

Popis výsledku v původním jazyce

Chronic obstructive pulmonary disease is a non-reversible disorder characterized primarily by a dominant emphysema or bronchitis. Since early treatments can help to control the symptoms, the quantification of emphysema has become an important topic. Here, we introduce a novel procedure to quantify emphysematous lesions using an ensemble of features based on log-Gabor filters, mean difference technique, and intensity values. This set captures both spatial and frequency variations and provides a suitable description of lung tissue. Leave-patient-out cross-validation was employed on the computed tomography emphysema database to validate our proposal. The sensitivity and specificity achieved were 91.22% and 95.48%, respectively. Such results have demonstrated that the proposed methodology could assist in quantification of emphysema.

Název v anglickém jazyce

Feature Ensemble for Quantitative Analysis of Emphysema in CT imaging

Popis výsledku anglicky

Chronic obstructive pulmonary disease is a non-reversible disorder characterized primarily by a dominant emphysema or bronchitis. Since early treatments can help to control the symptoms, the quantification of emphysema has become an important topic. Here, we introduce a novel procedure to quantify emphysematous lesions using an ensemble of features based on log-Gabor filters, mean difference technique, and intensity values. This set captures both spatial and frequency variations and provides a suitable description of lung tissue. Leave-patient-out cross-validation was employed on the computed tomography emphysema database to validate our proposal. The sensitivity and specificity achieved were 91.22% and 95.48%, respectively. Such results have demonstrated that the proposed methodology could assist in quantification of emphysema.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

The 5th IEEE International Conference on E-Health and Bioengineering

ISBN

978-1-4673-7545-0

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

—

Název nakladatele

Gr. T. Popa University of Medicine and Pharmacy

Místo vydání

Iasi

Místo konání akce

Iasi

Datum konání akce

19. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000380397900226