Cargando…
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening
Chest computed tomography (CT) based analysis and diagnosis of the Coronavirus Disease 2019 (COVID-19) plays a key role in combating the outbreak of the pandemic that has rapidly spread worldwide. To date, the disease has infected more than 18 million people with over 690k deaths reported. Reverse t...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141701/ https://www.ncbi.nlm.nih.gov/pubmed/34102477 http://dx.doi.org/10.1016/j.media.2021.102105 |