A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s10044-018-0754-8.pdf
Reference198 articles.
1. Cheng E, Du L, Wu Y, Zhu Y, Megalooikonomou V, Ling H (2014) Discriminative vessel segmentation in retinal images by fusing context-aware hybrid features. Mach Vis Appl 25(7):1779–1792
2. Abràmoff M, Garvin M, Sonka M (2010) Retinal imaging and image analysis. IEEE Rev Biomed Eng 3:169–208
3. Jelinek H, Cree M (2009) Automated image detection of retinal pathology. CRC Press, Boca Raton
4. Patton N, Aslam T, MacGillivray T, Deary I, Dhillon B, Eikelboom R, Yogesan K, Constable I (2006) Retinal image analysis: concepts, applications and potential. Prog Retin Eye Res 25(1):99–127
5. Franklin S, Rajan S (2014) Computerized screening of diabetic retinopathy employing blood vessel segmentation in retinal images. Biocybern Biomed Eng 34(2):117–124
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