Automated model-based segmentation, tracing, and analysis of retinal vasculature from digital fundus images

Angiography and Plaque Imaging: Advanced Segmentation Techniques

Volumn , Issue , 2003, Pages 225-296

  Fritzsche, Kenneth H ^a   Can, Ali ^b   Shen, Hong ^c   Tsai, Chia Ling ^a   Turner, James N ^d   Tanenbaum, Howard L ^e   Stewart, Charles V ^a   Roysam, Badrinath ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b WOODS HOLE OCEANOGRAPHIC INSTITUTION   (United States)

^c SIEMENS CORPORATE RESEARCH   (United States)

^d WADSWORTH CENTER   (United States)

^e Center for Sight   (United States)

Author keywords

Bifurcations; Boundary; Branch; Cross section; Crossing; Deadlines; Derivatives; Edge; Edgel; ERPR; Features; Filter; Fundus; Gaussian; Gold standard; Gray scale; Grid; Ground truth; GUI; Hollow; Kalman; Kernel; Kirsch; Landmark; Matched; Microbrightfield; Models; Montage; Morphological; Morphology; Morphometry; Mosaic; Multi observer; Ophthalmology; Profile; Real time; Referencing; Reflex; Registration; Repeatability; Response; RPI; Rpi trace; Saccadic; Schedule; Seed; Segmentation; Sobel; Spatial; Sub pixel; Synthetic; Template; Threshold; Tortuosity; Traces; Tracing; Tracking; Validation; Vasculature

Indexed keywords

EID: 84867404219     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

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