Clément Playout, Renaud Duval and Farida Cheriet
Paper (2018)
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| Department: | Department of Computer Engineering and Software Engineering |
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| Research Center: | LIV4D - Laboratoire d'imagerie et de vision 4D |
| ISBN: | 9783030009335 |
| PolyPublie URL: | https://publications.polymtl.ca/41133/ |
| Conference Title: | 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018) |
| Conference Location: | Granada, Spain |
| Conference Date(s): | 2018-09-16 - 2018-09-20 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-030-00934-2_12 |
| Official URL: | https://doi.org/10.1007/978-3-030-00934-2_12 |
| Date Deposited: | 18 Apr 2023 15:03 |
| Last Modified: | 01 Oct 2024 16:14 |
| Cite in APA 7: | Playout, C., Duval, R., & Cheriet, F. (2018, September). A multitask learning architecture for simultaneous segmentation of bright and red lesions in fundus images [Paper]. 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain. https://doi.org/10.1007/978-3-030-00934-2_12 |
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