An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions

Imaging technologies are being deployed on cabled observatory networks worldwide. They allow for the monitoring of the biological activity of deep-sea organisms on temporal scales that were never attained before. In this paper, we customized Convolutional Neural Network image processing to track beh...

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Detalles Bibliográficos
Autores principales: Zuazo, Ander, Grinyó, Jordi, López-Vázquez, Vanesa, Rodríguez, Erik, Costa, Corrado, Ortenzi, Luciano, Flögel, Sascha, Valencia, Javier, Marini, Simone, Zhang, Guosong, Wehde, Henning, Aguzzi, Jacopo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662914/
https://www.ncbi.nlm.nih.gov/pubmed/33158174
http://dx.doi.org/10.3390/s20216281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662914/
https://www.ncbi.nlm.nih.gov/pubmed/33158174
http://dx.doi.org/10.3390/s20216281

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