Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms
Abstract Deep learning (DL) has shown unprecedented performance for many image analysis and image enhancement tasks. Yet, solving large-scale inverse problems like tomographic reconstruction remains challenging for DL. These problems involve non-local and space-variant integral transforms between th...
Na minha lista:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2022-12-01
|
| coleção: | Visual Computing for Industry, Biomedicine, and Art |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s42492-022-00127-y |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|