Cargando…
Automated screening of computed tomography using weakly supervised anomaly detection
BACKGROUND: Current artificial intelligence studies for supporting CT screening tasks depend on either supervised learning or detecting anomalies. However, the former involves a heavy annotation workload owing to requiring many slice-wise annotations (ground truth labels); the latter is promising, b...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226438/ https://www.ncbi.nlm.nih.gov/pubmed/37247113 http://dx.doi.org/10.1007/s11548-023-02965-4 |