Mercaldo, Francesco and Brunese, Luca and Santone, Antonella and Martinelli, Fabio and Cesarelli, Mario (2024) Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study. EAI Endorsed Transactions on Pervasive Health and Technology.
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Abstract
In the current realm of biomedical image classification, the predominant choice remains deep learning networks, particularly convolutional neural network (CNN) models. However, deep learning suffers from a notable drawback in terms of its high training cost, mainly due to intricate data models. A re
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:09 |
| Last Modified: | 11 Apr 2026 00:39 |
| URI: | http://eprints.eai.eu/id/eprint/51377 |
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