Caricamento...
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
A key limitation of deep convolutional neural network (DCNN)-based image segmentation methods is the lack of generalizability. Manually traced training images are typically required when segmenting organs in a new imaging modality or from distinct disease cohort. The manual efforts can be alleviated...
Salvato in:
| Pubblicato in: | IEEE Trans Med Imaging |
|---|---|
| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6504618/ https://ncbi.nlm.nih.gov/pubmed/30334788 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2876633 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|