Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19.

Tello-Mijares S, Flores F, Woo F

DOI: 10.1155/ijta/4420410
Published: 2025
Container: International journal of telemedicine and applications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/ijta/4420410,
  title = {Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19.},
  author = {Tello-Mijares S and Flores F and Woo F},
  year = {2025},
  journal = {International journal of telemedicine and applications},
  doi = {10.1155/ijta/4420410},
  url = {https://doi.org/10.1155/ijta/4420410}
}

RIS

TY  - JOUR
TI  - Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19.
AU  - Tello-Mijares S
AU  - Flores F
AU  - Woo F
PY  - 2025
JO  - International journal of telemedicine and applications
DO  - 10.1155/ijta/4420410
UR  - https://doi.org/10.1155/ijta/4420410
ER  -

APA

S, T., F, F., & F, W. (2025). Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19.. International journal of telemedicine and applications. https://doi.org/10.1155/ijta/4420410

Source records

pubmed · retrieved 2026-09-27T10:45:03.233Z