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...
Shranjeno v:
| Principais autores: | , , , , , , |
|---|---|
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science (PLoS)
2021-01-01
|
| Serija: | PLoS ONE |
| Online dostop: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0246988&type=printable |
| Oznake: |
Brez oznak, prvi označite!
|