Computational Visual Stress Level Analysis of Calcareous Algae Exposed to Sedimentation

This paper presents a machine learning based approach for analyses of photos collected from laboratory experiments conducted to assess the potential impact of water-based drill cuttings on deep-water rhodolith-forming calcareous algae. This pilot study uses imaging technology to quantify and monitor...

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Detalles Bibliográficos
Autores principales: Osterloff, Jonas, Nilssen, Ingunn, Eide, Ingvar, de Oliveira Figueiredo, Marcia Abreu, de Souza Tâmega, Frederico Tapajós, Nattkemper, Tim W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902238/
https://www.ncbi.nlm.nih.gov/pubmed/27285611
http://dx.doi.org/10.1371/journal.pone.0157329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902238/
https://www.ncbi.nlm.nih.gov/pubmed/27285611
http://dx.doi.org/10.1371/journal.pone.0157329

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