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Small training dataset convolutional neural networks for application-specific super-resolution microscopy
SIGNIFICANCE: Machine learning (ML) models based on deep convolutional neural networks have been used to significantly increase microscopy resolution, speed [signal-to-noise ratio (SNR)], and data interpretation. The bottleneck in developing effective ML systems is often the need to acquire large da...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Society of Photo-Optical Instrumentation Engineers
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013193/ https://www.ncbi.nlm.nih.gov/pubmed/36925620 http://dx.doi.org/10.1117/1.JBO.28.3.036501 |