Lataa...
Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction
Purpose: Current phantoms used for the dose reconstruction of long-term childhood cancer survivors lack individualization. We design a method to predict highly individualized abdominal three-dimensional (3-D) phantoms automatically. Approach: We train machine learning (ML) models to map (2-D) patien...
Tallennettuna:
| Julkaisussa: | J Med Imaging (Bellingham) |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Society of Photo-Optical Instrumentation Engineers
2020
|
| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7390892/ https://ncbi.nlm.nih.gov/pubmed/32743017 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.4.046501 |
| Tagit: |
Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
|