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Article

Small Training Dataset Convolutional Neural Networks for Application Specific Super-Resolution Microscopy

2022-08-29

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Significance</h4> 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 need to acquire large datasets to train the neural network. This paper demonstrates how adding a “dense encoder-decoder...

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Literature Corpus work
bb9c8fc1-7299-5cdf-a3b0-6b810fde93a5
DOI
10.1101/2022.08.29.505633
Open publication

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Small Training Dataset Convolutional Neural Networks for Application Specific Super-Resolution MicroscopyDOI 10.1101/2022.08.29.505633
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