LAROUI, SARA and OMARA, HICHAM and LAZAAR, Mohamed and MAHBOUB, Oussama (2019) Comparative study of performing features applied in CNN architectures. In: Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco.
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Abstract
Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest across a variety of domains, including Medical image analysis. CNN is designed to automatically and adaptively learn spatial hierarchies of feat
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:07 |
| Last Modified: | 17 Apr 2026 14:30 |
| URI: | http://eprints.eai.eu/id/eprint/22894 |
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