Detection of retinopathy diseases using artificial neural network based on discrete cosine transform

Title:

Detection of retinopathy diseases using artificial neural network based on discrete cosine transform

Creator:

Okatan, Ali, Karlik, Bekir, and Yagmur , Fatma Demirezen

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:2c8f4f95-520f-4f4e-8291-c0f939d7dc8c
uuid:2c8f4f95-520f-4f4e-8291-c0f939d7dc8c

Subject:

Retinopathy diseases, neural network, discrete cosine transform, and detection algorithm

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The retinopathy diseases occur when the neurons do not transmit signals from retina to the brain. These disorders are: Diabetic retinopathy, hypertensive retinopathy, macular degeneration, vein branch occlusion, vitreous hemorrhage, and normal retina. This work presents a novel detection algorithm about retinopathy disorders from retina images. For this purpose, the retina images were pre-processed and resized at first. Then the discrete cosine transform was used as feature extraction before applying a neural network classifier. The performance of recognition rates of the novel detection algorithm were found as 50%, 70%, 85%, 90%, and 95% for testing five retinopathy cases respectively.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2009 Volume:19 | Number:2

Harvested from:

CDK

Metadata only:

false