Convolutional Sparse Support Estimator Network (CSEN) for Covid-19 Recognition from X-ray Images

The proposed approach is based on the CSEN that can be seen as a bridge between Deep Learning models and representation-based methods. CSEN uses both a dictionary and a set of training samples to train direct map from the query samples to the sparse support set of representation coefficients.

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Cite this as

Mehmet Yamac¸1,3, Mete Ahishali1, Aysen Degerli1, Serkan Kiranyaz2, Muhammad E. H. Chowdhury2, and Moncef Gabbouj1 (2024). Dataset: Convolutional Sparse Support Estimator Network (CSEN) for Covid-19 Recognition from X-ray Images. https://doi.org/10.57702/59hb22w3

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2005.04014
Author Mehmet Yamac¸1,3, Mete Ahishali1, Aysen Degerli1, Serkan Kiranyaz2, Muhammad E. H. Chowdhury2, and Moncef Gabbouj1
Homepage https://arxiv.org/abs/2003.00768