Detection of breast abnormalities of thermograms based on a new segmentation method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096548" target="_blank" >RIV/61989100:27240/15:86096548 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/15:86096548

Výsledek na webu

<a href="https://fedcsis.org/proceedings/2015/drp/318.html" target="_blank" >https://fedcsis.org/proceedings/2015/drp/318.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15439/2015F318" target="_blank" >10.15439/2015F318</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of breast abnormalities of thermograms based on a new segmentation method

Popis výsledku v původním jazyce

Breast cancer is one from various diseases that has got great attention in the last decades. This due to the number of women who died because of this disease. Segmentation is always an important step in developing a CAD system. This paper proposed an automatic segmentation method for the Region of Interest (ROI) from breast thermograms. This method is based on the data acquisition protocol parameter (the distance from the patient to the camera) and the image statistics of DMR-IR database. To evaluated the results of this method, an approach for the detection of breast abnormalities of thermograms was also proposed. Statistical and texture features from the segmented ROI were extracted and the SVM with its kernel function was used to detect the normal and abnormal breasts based on these features. The experimental results, using the benchmark database, DMR-IR, shown that the classification accuracy reached (100%). Also, using the measurements of the recall and the precision, the classifi

Název v anglickém jazyce

Detection of breast abnormalities of thermograms based on a new segmentation method

Popis výsledku anglicky

Breast cancer is one from various diseases that has got great attention in the last decades. This due to the number of women who died because of this disease. Segmentation is always an important step in developing a CAD system. This paper proposed an automatic segmentation method for the Region of Interest (ROI) from breast thermograms. This method is based on the data acquisition protocol parameter (the distance from the patient to the camera) and the image statistics of DMR-IR database. To evaluated the results of this method, an approach for the detection of breast abnormalities of thermograms was also proposed. Statistical and texture features from the segmented ROI were extracted and the SVM with its kernel function was used to detect the normal and abnormal breasts based on these features. The experimental results, using the benchmark database, DMR-IR, shown that the classification accuracy reached (100%). Also, using the measurements of the recall and the precision, the classifi

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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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)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems

ISBN

978-83-60810-65-1

ISSN

2300-5963

e-ISSN

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Počet stran výsledku

7

Strana od-do

255-261

Název nakladatele

Polskie Towarzystwo Informatyczne

Místo vydání

Varšava

Místo konání akce

Łódź

Datum konání akce

13. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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