Automated extraction of retinal vasculature

Medical Physics

Volumn 43, Issue 5, 2016, Pages 2311-2322

  Tan, Jen Hong ^a   Acharya, U Rajendra ^b   Chua, Kuang Chua ^a   Cheng, Calvin ^c   Laude, Augustinus ^d  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c Algo Access   (Singapore)

^d TAN TOCK SENG HOSPITAL   (Singapore)

Author keywords

Catmull Rom; fundus; Gabor; vessel extraction; vessel segmentation

Indexed keywords

BLOOD VESSELS; OPHTHALMOLOGY;

AUTOMATED EXTRACTION; CATMULL-ROM; FUNDUS; GABOR; PARAMETERIZED CATMULL ROMS; RETINAL VASCULATURE; SALIENT POINTS; SIMPLE++; VESSEL SEGMENTATION; VESSELS EXTRACTION;

EXTRACTION;

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFACT; AUTOMATION; CONTROLLED STUDY; DATA BASE; DIABETIC RETINOPATHY; EYE FUNDUS; FUNDUS CAMERA; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; IMAGING AND DISPLAY; RETINA BLOOD VESSEL; VISUAL SYSTEM EXAMINATION; ANGIOGRAPHY; AUTOMATED PATTERN RECOGNITION; DIABETES MELLITUS; DIAGNOSTIC IMAGING; MIDDLE AGED; PROCEDURES; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ANGIOGRAPHY; DIABETES MELLITUS; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RETINAL VESSELS;

EID: 84966277514     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4945413     Document Type: Article

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