StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.

Autee P, Bagwe S, Shah V, Srivastava K

DOI: 10.1007/s13246-020-00952-6
Published: 2020 Dec
Container: Physical and engineering sciences in medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s13246-020-00952-6,
  title = {StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.},
  author = {Autee P and Bagwe S and Shah V and Srivastava K},
  year = {2020},
  journal = {Physical and engineering sciences in medicine},
  doi = {10.1007/s13246-020-00952-6},
  url = {https://doi.org/10.1007/s13246-020-00952-6}
}

RIS

TY  - JOUR
TI  - StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.
AU  - Autee P
AU  - Bagwe S
AU  - Shah V
AU  - Srivastava K
PY  - 2020
JO  - Physical and engineering sciences in medicine
DO  - 10.1007/s13246-020-00952-6
UR  - https://doi.org/10.1007/s13246-020-00952-6
ER  -

APA

P, A., S, B., V, S., & K, S. (2020). StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.. Physical and engineering sciences in medicine. https://doi.org/10.1007/s13246-020-00952-6

Source records

pubmed · retrieved 2026-09-26T19:44:34.284Z