Comput. Biol. Med. - Computer-aided diagnosis of diabetic retinopathy: a review.

Tópicos

{ chang(1828) time(1643) increas(1301) }
{ imag(2675) segment(2577) method(1081) }
{ research(1085) discuss(1038) issu(1018) }
{ blood(1257) pressur(1144) flow(957) }
{ can(774) often(719) complex(702) }
{ patient(2315) diseas(1263) diabet(1191) }
{ imag(1057) registr(996) error(939) }
{ data(3008) multipl(1320) sourc(1022) }
{ detect(2391) sensit(1101) algorithm(908) }
{ data(1737) use(1416) pattern(1282) }
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{ featur(3375) classif(2383) classifi(1994) }
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{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
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Resumo

Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be tedious and time consuming to decipher subtle morphological changes in optic disk, microaneurysms, hemorrhage, blood vessels, macula, and exudates through manual inspection of fundus images. A computer aided diagnosis system can significantly reduce the burden on the ophthalmologists and may alleviate the inter and intra observer variability. This review discusses the available methods of various retinal feature extractions and automated analysis.

Resumo Limpo

diabet mellitus may caus alter retin microvasculatur lead diabet retinopathi uncheck advanc diabet retinopathi may lead blind can tedious time consum deciph subtl morpholog chang optic disk microaneurysm hemorrhag blood vessel macula exud manual inspect fundus imag comput aid diagnosi system can signific reduc burden ophthalmologist may allevi inter intra observ variabl review discuss avail method various retin featur extract autom analysi

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