Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images
Objective: With the rapid growth of high-speed deep-tissue imaging in biomedical research, there is an urgent need to develop a robust and effective denoising method to retain morphological features for further texture analysis and segmentation. Conventional denoising filters and models can easily s...
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| Veröffentlicht in: | IEEE journal of translational engineering in health and medicine Jg. 10; S. 1 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
IEEE
01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Schlagworte: | |
| ISSN: | 2168-2372, 2168-2372 |
| Online-Zugang: | Volltext |
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