Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images

PURPOSE: The purpose of this work was to evaluate the performance of X‐Net, a multiview deep learning architecture, to automatically label vertebral levels (S2‐C1) in palliative radiotherapy simulation CT scans. METHODS: For each patient CT scan, our automated approach 1) segmented spinal canal usin...

Descripción completa

Detalles Bibliográficos
Autores principales: Netherton, Tucker J., Rhee, Dong Joo, Cardenas, Carlos E., Chung, Caroline, Klopp, Ann H., Peterson, Christine B., Howell, Rebecca M., Balter, Peter A., Court, Laurence E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756475/
https://www.ncbi.nlm.nih.gov/pubmed/33459402
http://dx.doi.org/10.1002/mp.14415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756475/
https://www.ncbi.nlm.nih.gov/pubmed/33459402
http://dx.doi.org/10.1002/mp.14415

Ejemplares similares