Cargando...
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning
Image denoising or artefact removal using deep learning is possible in the availability of supervised training dataset acquired in real experiments or synthesized using known noise models. Neither of the conditions can be fulfilled for nanoscopy (super-resolution optical microscopy) images that are...
Guardado en:
| Publicado en: | Biomed Opt Express |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Optical Society of America
2020
|
| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7899514/ https://ncbi.nlm.nih.gov/pubmed/33659075 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.410617 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|