Gabriel Lepetit-Aimon, Renaud Duval and Farida Cheriet
Paper (2018)
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| Additional Information: | Held in Conjunction with MICCAI 2018 |
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| Department: | Department of Computer Engineering and Software Engineering |
| ISBN: | 9783030009489 |
| PolyPublie URL: | https://publications.polymtl.ca/41135/ |
| Conference Title: | 1st International Workshop on Computational Pathology (COMPAY 2018) and 5th International Workshop on Ophthalmic Medical Image Analysis (OMIA 2018) |
| Conference Location: | Granada, Spain |
| Conference Date(s): | 2018-09-16 - 2018-09-20 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-030-00949-6_24 |
| Official URL: | https://doi.org/10.1007/978-3-030-00949-6_24 |
| Date Deposited: | 18 Apr 2023 15:03 |
| Last Modified: | 08 Apr 2025 12:22 |
| Cite in APA 7: | Lepetit-Aimon, G., Duval, R., & Cheriet, F. (2018, September). Large Receptive Field Fully Convolutional Network for Semantic Segmentation of Retinal Vasculature in Fundus Images [Paper]. 1st International Workshop on Computational Pathology (COMPAY 2018) and 5th International Workshop on Ophthalmic Medical Image Analysis (OMIA 2018), Granada, Spain. https://doi.org/10.1007/978-3-030-00949-6_24 |
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