PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.

Wang SH, Zhang Y, Cheng X, Zhang X, Zhang YD

DOI: 10.1155/2021/6633755
Published: 2021
Container: Computational and mathematical methods in medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2021/6633755,
  title = {PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.},
  author = {Wang SH and Zhang Y and Cheng X and Zhang X and Zhang YD},
  year = {2021},
  journal = {Computational and mathematical methods in medicine},
  doi = {10.1155/2021/6633755},
  url = {https://doi.org/10.1155/2021/6633755}
}

RIS

TY  - JOUR
TI  - PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.
AU  - Wang SH
AU  - Zhang Y
AU  - Cheng X
AU  - Zhang X
AU  - Zhang YD
PY  - 2021
JO  - Computational and mathematical methods in medicine
DO  - 10.1155/2021/6633755
UR  - https://doi.org/10.1155/2021/6633755
ER  -

APA

SH, W., Y, Z., X, C., X, Z., & YD, Z. (2021). PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.. Computational and mathematical methods in medicine. https://doi.org/10.1155/2021/6633755

Source records

pubmed · retrieved 2026-09-25T18:11:30.839Z
europe-pmc · retrieved 2026-09-25T18:11:30.830Z