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Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction
Speckle noise has long been an extensively studied problem in medical imaging. In recent years, there have been significant advances in leveraging deep learning methods for noise reduction. Nevertheless, adaptation of supervised learning models to unseen domains remains a challenging problem. Specif...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672362/ https://www.ncbi.nlm.nih.gov/pubmed/37998084 http://dx.doi.org/10.3390/jimaging9110237 |