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Automated retinal image analysis over the internet.
Tsai, Chia-Ling; Madore, Benjamin; Leotta, Matthew J; Sofka, Michal; Yang, Gehua; Majerovics, Anna; Tanenbaum, Howard L; Stewart, Charles V; Roysam, Badrinath.
Afiliação
  • Tsai CL; Rensselaer Polytechnic Institute (RPI), Troy, NY 12180, USA. tsaic@cs.ccu.edu.tw
IEEE Trans Inf Technol Biomed ; 12(4): 480-7, 2008 Jul.
Article em En | MEDLINE | ID: mdl-18632328
ABSTRACT
Retinal clinicians and researchers make extensive use of images, and the current emphasis is on digital imaging of the retinal fundus. The goal of this paper is to introduce a system, known as retinal image vessel extraction and registration system, which provides the community of retinal clinicians, researchers, and study directors an integrated suite of advanced digital retinal image analysis tools over the Internet. The capabilities include vasculature tracing and morphometry, joint (simultaneous) montaging of multiple retinal fields, cross-modality registration (color/red-free fundus photographs and fluorescein angiograms), and generation of flicker animations for visualization of changes from longitudinal image sequences. Each capability has been carefully validated in our previous research work. The integrated Internet-based system can enable significant advances in retina-related clinical diagnosis, visualization of the complete fundus at full resolution from multiple low-angle views, analysis of longitudinal changes, research on the retinal vasculature, and objective, quantitative computer-assisted scoring of clinical trials imagery. It could pave the way for future screening services from optometry facilities.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vasos Retinianos / Reconhecimento Automatizado de Padrão / Angiofluoresceinografia / Aumento da Imagem / Consulta Remota / Internet / Retinoscopia Tipo de estudo: Evaluation_studies Idioma: En Revista: IEEE Trans Inf Technol Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2008 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vasos Retinianos / Reconhecimento Automatizado de Padrão / Angiofluoresceinografia / Aumento da Imagem / Consulta Remota / Internet / Retinoscopia Tipo de estudo: Evaluation_studies Idioma: En Revista: IEEE Trans Inf Technol Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2008 Tipo de documento: Article País de afiliação: Estados Unidos
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