Human Vision–Motivated Algorithm Allows Consistent Retinal Vessel Classification Based on Local Color Contrast for Advancing General Diagnostic Exams | Zendy

Iliya V. Ivanov | Zendy; Martin Leitritz | Zendy; Lars A. Norrenberg | Zendy; Michael Völker | Zendy; Marek Dynowski | Zendy; Marius Ueffing | Zendy; Johannes Dietter | Zendy

Open Access

Human Vision–Motivated Algorithm Allows Consistent Retinal Vessel Classification Based on Local Color Contrast for Advancing General Diagnostic Exams

Author(s) -

Iliya V. Ivanov,

Martin Leitritz,

Lars A. Norrenberg,

Michael Völker,

Marek Dynowski,

Marius Ueffing,

Johannes Dietter

Publication year - 2016

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.15-17831

Subject(s) - contrast (vision) , computer science , retinal , artificial intelligence , color contrast , computer vision , optometry , ophthalmology , medicine

Abnormalities of blood vessel anatomy, morphology, and ratio can serve as important diagnostic markers for retinal diseases such as AMD or diabetic retinopathy. Large cohort studies demand automated and quantitative image analysis of vascular abnormalities. Therefore, we developed an analytical software tool to enable automated standardized classification of blood vessels supporting clinical reading.

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