Test-retest reproducibility of a deep learning-based automatic detection algorithm for the chest radiograph.
Objectives: To perform test-retest reproducibility analyses for deep learning-based automatic detection algorithm (DLAD) using two stationary chest radiographs (CRs) with short-term intervals, to analyze influential factors on test-retest variations, and to investigate the robustness of DLAD to simu...
| Publicado en: | European Radiology Vol. 30; no. 4; pp. 2346 - 2356 |
|---|---|
| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |