ロード中...
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...
保存先:
| 出版年: | PLoS One |
|---|---|
| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2021
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7968698/ https://ncbi.nlm.nih.gov/pubmed/33730031 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0246988 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|