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

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2001

Autores

Kamel, M (Autor) Outra; Belkassim, S (Autor) Outra; Mendonca, AM (Autor) FEUP; Campilho, A (Autor) FEUP

Ata de Conferência Internacional

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

Páginas: 2695-2699

International Joint Conference on Neural Networks (IJCNN 01)

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

Indexação

ISI Web of Knowledge - 12 Citações

Scopus - 14 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5