Caricamento...
MODEL BASED IMAGE RECONSTRUCTION USING DEEP LEARNED PRIORS (MODL)
We introduce a model-based image reconstruction framework, where we use a deep convolution neural network (CNN) based regularization prior. We rely on a recursive algorithm, which alternates between a CNN based denoising step and enforcement of data consistency. Unrolling the recursive algorithm yie...
Salvato in:
| Pubblicato in: | Proc IEEE Int Symp Biomed Imaging |
|---|---|
| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7876898/ https://ncbi.nlm.nih.gov/pubmed/33584973 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi.2018.8363663 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|