Caricamento...
3D Transrectal Ultrasound (TRUS) Prostate Segmentation Based on Optimal Feature Learning Framework
We propose a 3D prostate segmentation method for transrectal ultrasound (TRUS) images, which is based on patch-based feature learning framework. Patient-specific anatomical features are extracted from aligned training images and adopted as signatures for each voxel. The most robust and informative f...
Salvato in:
| Pubblicato in: | Proc SPIE Int Soc Opt Eng |
|---|---|
| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6715140/ https://ncbi.nlm.nih.gov/pubmed/31467459 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2216396 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|