Feather-Light Vessel Segregation Model
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5191-6_48
Reference10 articles.
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2. Marin D, Aquino A, Gegndez-Arias ME, Bravo JM (2011) A new unsupervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. IEEE Trans Med Imaging 30(1):146–158
3. Ricci E, Perfetti R (2007) Retinal blood vessel segmentation using line operators and support vector classification. IEEE Trans Med Imaging 26(10):1357–1365
4. Frucci M, Riccio D, Sanniti di Baja G, Serino L (2016) SEVERE, segmenting vessels in retina images. Pattern Recogn Lett 82:162–169
5. Oliveira A, Pereira S, Silva CA (2017) Augmenting data when training a CNN for retinal vessel segmentation: How to warp? In: IEEE 5th Portuguese meeting on bioengineering (ENBENG), Coimbra, pp 1–4. https://doi.org/10.1109/ENBENG.2017.7889443
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