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Deep-Learning-based Classification of Rat OCT images After Intravitreal Injection of ET-1 for Glaucoma Understanding

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Deep-Learning-based Classification of Rat OCT images After Intravitreal Injection of ET-1 for Glaucoma Understanding

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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

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Title: Deep-Learning-based Classification of Rat OCT images After Intravitreal Injection of ET-1 for Glaucoma Understanding
Author:
Issued date:
Abstract:
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 ...[+]
Subjects: Optical coherence tomography , Deep-learning , Glaucoma
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-030-03492-4
Source:
Intelligent Data Engineering and Automated Learning – IDEAL 2018.
DOI: 10.1007/978-3-030-03493-1_4
Publisher:
Springer
Publisher version: https://doi.org/10.1007/978-3-030-03493-1_4
Conference name: International Conference on Intelligent Data Engineering and Automated Learning (IDEAL)
Conference place: Madrid, Spain
Conference date: Noviembre 21-23,2018
Series: Lecture Notes in Computer Science;11314
Project ID: info:eu-repo/grantAgreement/EC/H2020/732613/EU
Thanks:
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 ...[+]
Type: Capítulo de libro Comunicación en congreso

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