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Complementary performances of convolutional and capsule neural networks on classifying microfluidic images of dividing yeast cells
Microfluidic-based assays have become effective high-throughput approaches to examining replicative aging of budding yeast cells. Deep learning may offer an efficient way to analyze a large number of images collected from microfluidic experiments. Here, we compare three deep learning architectures t...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968698/ https://www.ncbi.nlm.nih.gov/pubmed/33730031 http://dx.doi.org/10.1371/journal.pone.0246988 |