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...

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Hlavní autoři:	Antonio García Garví, Joan Carles Puchalt, Pablo E. Layana Castro, Francisco Navarro Moya, Antonio-José Sánchez-Salmerón
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-07-01
Edice:	Sensors
Témata:	<i>C. elegans</i> lifespan automation deep learning computer vision
On-line přístup:	https://www.mdpi.com/1424-8220/21/14/4943
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