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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Hauptverfasser:	Mehran Ghafari, Justin Clark, Hao-Bo Guo, Ruofan Yu, Yu Sun, Weiwei Dang, Hong Qin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Public Library of Science (PLoS) 2021-01-01
Schriftenreihe:	PLoS ONE
Online-Zugang:	https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0246988&type=printable
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