Improved Automated Quality Control of Skeletal Wrist Radiographs Using Deep Multitask Learning.
Radiographic quality control is an integral component of the radiology workflow. In this study, we developed a convolutional neural network model tailored for automated quality control, specifically designed to detect and classify key attributes of wrist radiographs including projection, laterality...
| Publicado en: | Journal of Imaging Informatics in Medicine Vol. 38; no. 2; pp. 838 - 850 |
|---|---|
| Autores principales: | , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |