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Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy
In this study, we propose a deep-learning-based method to correct motion artifacts in optical resolution photoacoustic microscopy (OR-PAM). The method is a convolutional neural network that establishes an end-to-end map from input raw data with motion artifacts to output corrected images. First, we...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099543/ https://www.ncbi.nlm.nih.gov/pubmed/32240397 http://dx.doi.org/10.1186/s42492-019-0022-9 |