A neural network approach for the automatic detection of microaneurysms in retinal angiograms

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2001, Pages 2695-2699

  Kamel, M ^a   Belkassim, S ^a   Mendonca A ^a   Campilho, A ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MATERIALS; DISEASES; IMAGE ENHANCEMENT; IMAGE SEGMENTATION;

LEARNING VECTOR QUANTIZATION; MICROANEURYSMS; NEURONS; RETINAL ANGIOGRAMS;

NEURAL NETWORKS;

EID: 0034860882     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Quantitative evaluation of fluorescein angiograms: Microaneurysm counts
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3. Automated detection and quantification of microaneurysm in fluorescein angiograms
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5. Automated microaneurysm detection
6. A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiograms
7. A fully automated comparative microaneurysm digital detection system
8. Automatic segmentation of microaneurysms in retinal angiograms of diabetic patients
9. A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers
10. An improvement on LVQ algorithms to create classes of patterns