Image restoration via learning on a digital twin for multi-core fiber endoscopy
Publikation: Beitrag zu Konferenzen › Paper › Beigetragen › Begutachtung
Beitragende
Abstract
Fiber endoscopy has great potential in all-optical biopsies but suffers fiber-specific distortions. We propose a method based on deep learning and digital twins for image reconstruction with a few training samples to enable clinical transfer.
Details
| Originalsprache | Englisch |
|---|---|
| Publikationsstatus | Veröffentlicht - 2024 |
| Peer-Review-Status | Ja |
Konferenz
| Titel | 2024 Imaging Systems and Applications, ISA 2024 - Part of Optica Imaging Congress |
|---|---|
| Dauer | 15 - 19 Juli 2024 |
| Stadt | Toulouse |
| Land | Frankreich |
Externe IDs
| ORCID | /0000-0002-6603-5375/work/169643481 |
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