Mohamed Akrout, Amir-Massoud Farahmand, Tory Jarmain and Latif Abid
Paper (2019)
Document published while its authors were not affiliated with Polytechnique Montréal
An external link is available for this item| ISBN: | 9783030322519 |
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| PolyPublie URL: | https://publications.polymtl.ca/63059/ |
| Conference Title: | 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019) |
| Conference Location: | Shenzhen, China |
| Conference Date(s): | 2019-10-13 - 2019-10-17 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-030-32251-9_60 |
| Official URL: | https://doi.org/10.1007/978-3-030-32251-9_60 |
| Date Deposited: | 03 Mar 2025 18:46 |
| Last Modified: | 03 Mar 2025 18:57 |
| Cite in APA 7: | Akrout, M., Farahmand, A.-M., Jarmain, T., & Abid, L. (2019, October). Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning [Paper]. 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China. https://doi.org/10.1007/978-3-030-32251-9_60 |
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