Retinal blood vessel segmentation for macula detachment surgery monitoring instruments

Author:

Hajabdollahi Mohsen1,Karimi Nader1ORCID,Reza Soroushmehr S.M.23,Samavi Shadrokh13,Najarian Kayvan234

Affiliation:

1. Department of Electrical and Computer Engineering; Isfahan University of Technology; Isfahan 84156-83111 Iran

2. Michigan Center for Integrative Research in Critical Care; University of Michigan; Ann Arbor MI 48109 USA

3. Department of Emergency Medicine; University of Michigan; Ann Arbor MI 48109 USA

4. Department of Computational Medicine and Bioinformatics; University of Michigan; Ann Arbor MI 48109 USA

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Reference40 articles.

1. Laser Care & Research Center http://lasereyecenter.ae/services/diabeticretinopathy/

2. Retinal imaging and image analysis;Abràmoff;IEEE Rev Biomed Eng,2010

3. FABC: retinal vessel segmentation using AdaBoost;Lupascu;IEEE Trans Inf Technol Biomed,2010

4. An ensemble classification-based approach applied to retinal blood vessel segmentation;Fraz;IEEE Trans Biomed Eng,2012

5. Melinscak M Prentasic P Loncaric S Retinal vessel segmentation using deep neural networks 2015

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