Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation
Author:
Funder
FCT
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-020-01863-z.pdf
Reference41 articles.
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2. Muraoka, Y., Tsujikawa, A., Kumagai, K., Akiba, M., Ogino, K., Murakami, T., Akagi-Kurashige, Y., Miyamoto, K., Yoshimura, N.: Age-and hypertension-dependent changes in retinal vessel diameter and wall thickness: an optical coherence tomography study. Am. J. Ophthalmol. 156(4), 706 (2013)
3. Heitmar, R., Lip, G., Ryder, R., Blann, A.: Retinal vessel diameters and reactivity in diabetes mellitus and/or cardiovascular disease. Cardiovasc. Diabetol. 16(1), 56 (2017)
4. Ding, J., Wai, K.L., McGeechan, K., et al.: Retinal vascular caliber and the development of hypertension: a meta-analysis of individual participant data. J. Hypertens. 32(2), 207 (2014)
5. Daien, V., Carriere, I., Kawasaki, R., Cristol, J.P., Villain, M., Fesler, P., Ritchie, K., Delcourt, C.: Retinal vascular caliber is associated with cardiovascular biomarkers of oxidative stress and inflammation: the pola study. PLoS ONE 8(7), e71089 (2013)
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