LSAE : autoencoder latent space for dimensionality reduction-based approach for COVID-19 classification and detection task using vhest X-ray
Younes Bouchlaghem, Yassine Akhiat, Kaouthar Touchanti, Souad Amjad
| Year of publication: |
2023
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|---|---|
| Authors: | Bouchlaghem, Younes ; Akhiate, Yassine ; Touchanti, Kaouthar ; Amjad, Souad |
| Published in: |
Operations research forum. - Cham : Springer International Publishing, ISSN 2662-2556, ZDB-ID 2978290-9. - Vol. 4.2023, 4, Art.-No. 95, p. 1-23
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| Subject: | COVID-19 | Image classification | Chest X-ray | Autoencoder | Deep learning | Latent space | Dimensionality reduction | Feature selection | Coronavirus | Klassifikation | Classification |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s43069-023-00278-5 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014441082