Caricamento...
Interactive prostate segmentation using atlas-guided semi-supervised learning and adaptive feature selection
PURPOSE: Accurate prostate segmentation is necessary for maximizing the effectiveness of radiation therapy of prostate cancer. However, manual segmentation from 3D CT images is very time-consuming and often causes large intra- and interobserver variations across clinicians. Many segmentation methods...
Salvato in:
| Pubblicato in: | Med Phys |
|---|---|
| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Association of Physicists in Medicine
2014
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4224685/ https://ncbi.nlm.nih.gov/pubmed/25370629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4898200 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|