Towards Lifespan Automation for <i>Caenorhabditis elegans</i> Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification
The automation of lifespan assays with <i>C. elegans</i> in standard Petri dishes is a challenging problem because there are several problems hindering detection such as occlusions at the plate edges, dirt accumulation, and worm aggregations. Moreover, determining whether a worm is alive or dead can...
Furkejuvvon:
| Váldodahkkit: | , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
MDPI AG
2021-07-01
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| Ráidu: | Sensors |
| Fáttát: | |
| Liŋkkat: | https://www.mdpi.com/1424-8220/21/14/4943 |
| Fáddágilkorat: |
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