Towards Lifespan Automation for Caenorhabditis elegans Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification

The automation of lifespan assays with C. elegans 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 be com...

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Detalles Bibliográficos
Autores principales: García Garví, Antonio, Puchalt, Joan Carles, Layana Castro, Pablo E., Navarro Moya, Francisco, Sánchez-Salmerón, Antonio-José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309694/
https://www.ncbi.nlm.nih.gov/pubmed/34300683
http://dx.doi.org/10.3390/s21144943

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309694/
https://www.ncbi.nlm.nih.gov/pubmed/34300683
http://dx.doi.org/10.3390/s21144943

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