Comput Methods Programs Biomed - Blood vessel segmentation methodologies in retinal images--a survey.

Tópicos

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Resumo

Retinal vessel segmentation algorithms are a fundamental component of automatic retinal disease screening systems. This work examines the blood vessel segmentation methodologies in two dimensional retinal images acquired from a fundus camera and a survey of techniques is presented. The aim of this paper is to review, analyze and categorize the retinal vessel extraction algorithms, techniques and methodologies, giving a brief description, highlighting the key points and the performance measures. We intend to give the reader a framework for the existing research; to introduce the range of retinal vessel segmentation algorithms; to discuss the current trends and future directions and summarize the open problems. The performance of algorithms is compared and analyzed on two publicly available databases (DRIVE and STARE) of retinal images using a number of measures which include accuracy, true positive rate, false positive rate, sensitivity, specificity and area under receiver operating characteristic (ROC) curve.

Resumo Limpo

retin vessel segment algorithm fundament compon automat retin diseas screen system work examin blood vessel segment methodolog two dimension retin imag acquir fundus camera survey techniqu present aim paper review analyz categor retin vessel extract algorithm techniqu methodolog give brief descript highlight key point perform measur intend give reader framework exist research introduc rang retin vessel segment algorithm discuss current trend futur direct summar open problem perform algorithm compar analyz two public avail databas drive stare retin imag use number measur includ accuraci true posit rate fals posit rate sensit specif area receiv oper characterist roc curv

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