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Fluorescence lifetime image microscopy prediction with convolutional neural networks for cell detection and classification in tissues
Convolutional neural networks (CNNs) and other deep-learning models have proven to be transformative tools for the automated analysis of microscopy images, particularly in the domain of cellular and tissue imaging. These computer-vision models have primarily been applied with traditional microscopy...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9802238/ https://www.ncbi.nlm.nih.gov/pubmed/36712353 http://dx.doi.org/10.1093/pnasnexus/pgac235 |