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MitoSegNet: Easy-to-use Deep Learning Segmentation for Analyzing Mitochondrial Morphology
While the analysis of mitochondrial morphology has emerged as a key tool in the study of mitochondrial function, efficient quantification of mitochondrial microscopy images presents a challenging task and bottleneck for statistically robust conclusions. Here, we present Mitochondrial Segmentation Ne...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554024/ https://www.ncbi.nlm.nih.gov/pubmed/33083756 http://dx.doi.org/10.1016/j.isci.2020.101601 |