J Med Syst - Automated detection of dark and bright lesions in retinal images for early detection of diabetic retinopathy.

Tópicos

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Resumo

There is an ever-increasing interest in the development of automatic medical diagnosis systems due to the advancement in computing technology and also to improve the service by medical community. The knowledge about health and disease is required for reliable and accurate medical diagnosis. Diabetic Retinopathy (DR) is one of the most common causes of blindness and it can be prevented if detected and treated early. DR has different signs and the most distinctive are microaneurysm and haemorrhage which are dark lesions and hard exudates and cotton wool spots which are bright lesions. Location and structure of blood vessels and optic disk play important role in accurate detection and classification of dark and bright lesions for early detection of DR. In this article, we propose a computer aided system for the early detection of DR. The article presents algorithms for retinal image preprocessing, blood vessel enhancement and segmentation and optic disk localization and detection which eventually lead to detection of different DR lesions using proposed hybrid fuzzy classifier. The developed methods are tested on four different publicly available databases. The presented methods are compared with recently published methods and the results show that presented methods outperform all others.

Resumo Limpo

everincreas interest develop automat medic diagnosi system due advanc comput technolog also improv servic medic communiti knowledg health diseas requir reliabl accur medic diagnosi diabet retinopathi dr one common caus blind can prevent detect treat earli dr differ sign distinct microaneurysm haemorrhag dark lesion hard exud cotton wool spot bright lesion locat structur blood vessel optic disk play import role accur detect classif dark bright lesion earli detect dr articl propos comput aid system earli detect dr articl present algorithm retin imag preprocess blood vessel enhanc segment optic disk local detect eventu lead detect differ dr lesion use propos hybrid fuzzi classifi develop method test four differ public avail databas present method compar recent publish method result show present method outperform other

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