Small training dataset convolutional neural networks for application-specific super-resolution microscopy
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DOI: 10.1117/1.jbo.28.3.036501
Abstract: Significance Machine learning (ML) models based on deep convolutional neural networks have been used to significantly increase microscopy resolution, speed (signal-to-noise ratio), and data interpretation. The bottleneck in developing effective ML systems is often the… read more here.
Keywords: microscopy; super resolution; training dataset; denseed blocks ... See more keywords