Detection and Estimation of Diameter of Retinal Vessels
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39811-7_2
Reference14 articles.
1. Kipli, K., et al.: A review on the extraction of quantitative retinal microvascular image feature. Comput. Math. Methods Med. 2018 (2018)
2. Liu, L., Yang, T., Fu, D., Li, M.: Retinal vessel extraction and diameter calculation based on tensor analysis. In: 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp. 1478–1483. IEEE (2016)
3. Aganj, I., Sapiro, G., Parikshak, N., Madsen, S.K., Thompson, P.M.: Measurement of cortical thickness from mri by minimum line integrals on soft-classified tissue. Hum. Brain Mapp. 30(10), 3188–3199 (2009)
4. Aliahmad, B., Kumar, D.K., Janghorban, S., Azemin, M.Z.C., Hao, H., Kawasaki, R.: Retinal vessel diameter measurement using multi-step regression method. In: 2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), pp. 1–4. IEEE (2012)
5. Moss, H.E.: Retinal vascular changes are a marker for cerebral vascular diseases. Curr. Neurol. Neurosci. Rep. 15(7), 1–9 (2015)
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