Features Selection for Vessel Extraction Inspired by Survival of the Fittest Method
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3089-8_36
Reference10 articles.
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3. Ricci, E., Perfetti, R.: Retinal blood vessel segmentation using line operators and support vector classification. IEEE Trans. Med. Imaging 26(10), 1357–1365 (2007)
4. Frucci, M., Riccio, D., Sanniti di Baja, G., Serino, L.: SEVERE, segmenting vessels in retina images. Pattern Recogn. Lett. 82, 162–169 (2016)
5. Oliveira, A., Pereira S., Silva, C.A.: Augmenting data when training a CNN for retinal vessel segmentation: how to warp? In: 2017 IEEE 5th Portuguese Meeting on Bioengineering (ENBENG), Coimbra, pp. 1–4 (2017). https://doi.org/10.1109/ENBENG.2017.7889443
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