Cargando…
CapsCovNet: A Modified Capsule Network to Diagnose COVID-19 From Multimodal Medical Imaging
Since the end of 2019, novel coronavirus disease (COVID-19) has brought about a plethora of unforeseen changes to the world as we know it. Despite our ceaseless fight against it, COVID-19 has claimed millions of lives, and the death toll exacerbated due to its extremely contagious and fast-spreading...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851432/ https://www.ncbi.nlm.nih.gov/pubmed/35582431 http://dx.doi.org/10.1109/TAI.2021.3104791 |
Ejemplares similares
-
DA-CapsNet: dual attention mechanism capsule network
por: Huang, Wenkai, et al.
Publicado: (2020) -
Efficient-CapsNet: capsule network with self-attention routing
por: Mazzia, Vittorio, et al.
Publicado: (2021) -
DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network()
por: Quan, Hao, et al.
Publicado: (2021) -
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans
por: Sharma, Pulkit, et al.
Publicado: (2023) -
DPDH-CapNet: A Novel Lightweight Capsule Network with Non-routing for COVID-19 Diagnosis Using X-ray Images
por: Yuan, Jianjun, et al.
Publicado: (2023)