Naslov
Detection of Exudates in Fundus Photographs using Convolutional Neural Networks

Autori
Prentašić, Pavle ; Lončarić, Sven

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

Izvornik
ISPA 2015 (9th International Symposium on Image and Signal Processing and Analysis) / - Zagreb, 2015, 188-192

Skup
9th International Symposium on Image and Signal Processing and Analysis

Mjesto i datum
Zagreb, Hrvatska, 07.09.2015. - 09.09.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
diabetic retinopathy; machine learning; deep learning; convolutional neural networks; image analysis

Sažetak
Diabetic retinopathy is one of the leading causes of preventable blindness in the developed world. Early diagnosis of diabetic retinopathy enables timely treatment and in order to achieve it a major effort will have to be invested into screening programs and especially into automated screening programs. Detection of exudates is very important for early diagnosis of diabetic retinopathy. Deep neural networks have proven to be a very promising machine learning technique, and have shown excellent results in different compute vision problems. In this paper we show that convolutional neural networks can be effectively used in order to detect exudates in color fundus photographs.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA