Tracked 3D ultrasound and deep neural network-based thyroid segmentation improve accuracy and interobserver variability in thyroid volumetry [Abstract]
| Author: | C. Eilers, M. Krönke, D. Dimova, M. Köhler, L. Konstantinidou, N. Navab, K. Scheidhauer, W. Weber, J. Nagarajah, Thomas WendlerGND |
|---|---|
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/107210 |
| ISSN: | 2567-6407OPAC |
| Parent Title (German): | Nuklearmedizin - NuclearMedicine |
| Publisher: | Georg Thieme Verlag KG |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2021 |
| Release Date: | 2023/08/28 |
| Volume: | 60 |
| Issue: | 02 |
| First Page: | 139 |
| DOI: | https://doi.org/10.1055/s-0041-1726799 |
| Institutes: | Medizinische Fakultät |
| Medizinische Fakultät / Universitätsklinikum | |
| Medizinische Fakultät / Professur für Clinical Computational Medical Imaging Research |
