Fuentes-Hurtado, FJ.; Morales, S.; Mossi García, JM.; Naranjo Ornedo, V.; Fedulov, V.; Woldbye, D.; Klemp, K.... (2018). Deep-Learning-based Classification of Rat OCT images After Intravitreal Injection of ET-1 for Glaucoma Understanding. En Intelligent Data Engineering and Automated Learning – IDEAL 2018. Springer. 27-34. https://doi.org/10.1007/978-3-030-03493-1_4
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/124182
Title: | Deep-Learning-based Classification of Rat OCT images After Intravitreal Injection of ET-1 for Glaucoma Understanding | |
Author: | Fuentes-Hurtado, Félix José Fedulov, Vadim Woldbye, David Klemp, Kristian Torm, Marie Larsen, Michael | |
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Optical coherence tomography (OCT) is a useful technique to monitor retinal damage. We present an automatic method to accurately classify rodent OCT images in healthy and pathological (before and after 14 days of intravitreal ...[+]
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Copyrigths: | Reserva de todos los derechos | |
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Publisher version: | https://doi.org/10.1007/978-3-030-03493-1_4 | |
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Animal experiment permission was granted by the Danish Animal Experimentation Council (license number: 2017-15-0201-01213). We gratefully
acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp
GPU ...[+]
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