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

• Type: Article in International Conference Proceedings Book
• Date: 2001

Authors

Kamel, M (Author) Other; Belkassim, S (Author) Other; Mendonca, AM (Author) FEUP; Campilho, A (Author) FEUP

Conference proceedings International

Title: IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS

Pages: 2695-2699

International Joint Conference on Neural Networks (IJCNN 01)

WASHINGTON, D.C., JUL 15-19, 2001

Indexing

ISI Web of Knowledge - 12 Citations

Scopus - 14 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-008-NG9

DOI: 10.1109/ijcnn.2001.938798

Abstract (EN): In this paper a neural network structure is used to develop a system capable of detecting microaneurysms locations in retinal angiograms. The LVQ (learning vector quantization) neural network is used to classify the input patterns into their desired classes using competitive layers. The neurons in the competitive layers compete among each other to produce subclasses. These subclasses are then combined to produce the desired output classes. The input vector of the neural network is derived from a grid of smaller image windows. The presence of microaneurysms in these windows is detected according to a novel multi-stage training procedure that has proved to be very effective.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5