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TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning
Recent advances in machine learning have greatly enhanced automatic methods to extract information from fluorescence microscopy data. However, current machine-learning-based models can require hundreds to thousands of images to train, and the most readily accessible models classify images without de...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600226/ https://www.ncbi.nlm.nih.gov/pubmed/34820649 http://dx.doi.org/10.1016/j.patter.2021.100367 |