Cargando…
Radiotherapy Treatment Planning in the Age of AI: Are We Ready Yet?
Autores principales: | Zheng, Dandan, Hong, Julian C., Wang, Chunhao, Zhu, Xiaofeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927195/ https://www.ncbi.nlm.nih.gov/pubmed/31858890 http://dx.doi.org/10.1177/1533033819894577 |
Ejemplares similares
-
Artificial Intelligence in Radiotherapy Treatment Planning: Present and
Future
por: Wang, Chunhao, et al.
Publicado: (2019) -
Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy
por: Wang, Shuo, et al.
Publicado: (2019) -
Knowledge-Based Statistical Inference Method for Plan Quality Quantification
por: Zhang, Jiang, et al.
Publicado: (2019) -
Can the Student Outperform the Master? A Plan Comparison Between Pinnacle
Auto-Planning and Eclipse knowledge-Based RapidPlan Following a Prostate-Bed Plan
Competition
por: Smith, April, et al.
Publicado: (2019) -
Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling:
A Pelvic Case Study
por: Sheng, Yang, et al.
Publicado: (2019)