Naslov
Voting Based Automatic Exudate Detection in Color Fundus Photographs

Autori
Prentašić, Pavle ; Lončarić, Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 22nd European Signal Processing Conference 2014 / - , 2014

Skup
22nd Europen Signal Processing Conference (EUSIPCO)

Mjesto i datum
Lisabon, Portugal, 01.09.2014. - 05.09.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
diabetic retinopathy; exudate detection; machine learning; ensemble; image processing and analysis

Sažetak
Diabetic retinopathy is one of the leading causes of preventable blindness. Screening programs using color fundus photographs enable early diagnosis of diabetic retinopathy, which enables timely treatment of the disease. Exudate detection algorithms are important for development of automatic screening systems and in this paper we present a method for detection of exudate regions in color fundus photographs. The method combines different preprocessing and candidate extraction algorithms to increase the exudate detection accuracy. First, we form an ensemble of different candidate extraction algorithms, which are used to increase the accuracy. After extracting the potential exudate regions we apply machine learning based classification for detection of exudate regions. For experimental validation we use the DRiDB color fundus image set where the presented method achieves higher accuracy in comparison to other state-of-the art methods.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA