Using a multi-agent system approach for microaneurysm detection in fundus images

Artificial Intelligence in Medicine

Volumn 60, Issue 3, 2014, Pages 179-188

  Pereira, Carla ^a   Veiga, Diana ^a,b   Mahdjoub, Jason ^c   Guessoum, Zahia ^c   Gonçalves, Luís ^d   Ferreira, Manuel ^a,b   Monteiro, João ^a  

^a UNIVERSITY OF MINHO   (Portugal)

^b Enermeter   (Portugal)

^c UNIVERSITÉ DE REIMS CHAMPAGNE ARDENNE   (France)

^d Oftalmocenter   (Portugal)

Author keywords

Color fundus images; Diabetic retinopathy; Image processing; Microaneurysm; Multi agent system

Indexed keywords

AUTOMATION; EYE PROTECTION; IMAGE PROCESSING;

CONVENTIONAL ALGORITHMS; DIABETIC RETINOPATHY; FUNDUS IMAGE; METHODS AND MATERIALS; MICROANEURYSMS; MULTI-AGENT BASED APPROACH; MULTI-AGENT SYSTEM MODEL; PREPROCESSING PHASE;

MULTI AGENT SYSTEMS;

ARTICLE; CONTROLLED STUDY; FUNDUS IMAGE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING AND DISPLAY; IMAGING SYSTEM; MICROANEURYSM; MULTI AGENT SYSTEM; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETINA BLOOD VESSEL; RETINA IMAGE; ALGORITHM; ANEURYSM; DIABETIC RETINOPATHY; PROCEDURES; RETINA;

ALGORITHMS; ANEURYSM; DIABETIC RETINOPATHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; RETINA;

EID: 84897056363     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2013.12.005     Document Type: Article

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