Diagnostic performance of deep learning models for detecting bone metastasis on whole-body bone scan in prostate cancer.
Purpose: We evaluated the performance of deep learning classifiers for bone scans of prostate cancer patients. Methods: A total of 9113 consecutive bone scans (5342 prostate cancer patients) were initially evaluated. Bone scans were labeled as positive/negative for bone metastasis using clinical rep...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 49; no. 2; pp. 585 - 596 |
|---|---|
| Autores principales: | , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jan2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |