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

doi:doi:10.57702/59hb22w3

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.

BibTex:

@dataset{Mehmet_Yamac¸13_Mete_Ahishali1_Aysen_Degerli1_Serkan_Kiranyaz2_Muhammad_E_H_Chowdhury2_and_Moncef_Gabbouj1_2024,
    abstract = {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.},
    author = {Mehmet Yamac¸1,3, Mete Ahishali1, Aysen Degerli1, Serkan Kiranyaz2, Muhammad E. H. Chowdhury2, and Moncef Gabbouj1},
    doi = {10.57702/59hb22w3},
    institution = {No Organization},
    keyword = {'Convolutional Neural Networks', 'Covid-19', 'Sparse Support Estimation', 'X-ray Images'},
    month = {dec},
    publisher = {TIB},
    title = {Convolutional Sparse Support Estimator Network (CSEN) for Covid-19 Recognition from X-ray Images},
    url = {https://service.tib.eu/ldmservice/dataset/convolutional-sparse-support-estimator-network--csen--for-covid-19-recognition-from-x-ray-images},
    year = {2024}
}