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...

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Detalles Bibliográficos
Autores principales: Ghafari, Mehran, Clark, Justin, Guo, Hao-Bo, Yu, Ruofan, Sun, Yu, Dang, Weiwei, Qin, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
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

Internet

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

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