Wordt geladen...
PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation
AIM: COVID-19 has caused large death tolls all over the world. Accurate diagnosis is of significant importance for early treatment. METHODS: In this study, we proposed a novel PSSPNN model for classification between COVID-19, secondary pulmonary tuberculosis, community-captured pneumonia, and health...
Bewaard in:
| Gepubliceerd in: | Comput Math Methods Med |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Hindawi
2021
|
| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7945676/ https://ncbi.nlm.nih.gov/pubmed/33777167 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/6633755 |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|