Random subwindows and extremely randomized trees for image classification in cell biology

BACKGROUND: With the improvements in biosensors and high-throughput image acquisition technologies, life science laboratories are able to perform an increasing number of experiments that involve the generation of a large amount of images at different imaging modalities/scales. It stresses the need f...

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Detalles Bibliográficos
Autores principales: Marée, Raphaël, Geurts, Pierre, Wehenkel, Louis
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1924507/
https://www.ncbi.nlm.nih.gov/pubmed/17634092
http://dx.doi.org/10.1186/1471-2121-8-S1-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1924507/
https://www.ncbi.nlm.nih.gov/pubmed/17634092
http://dx.doi.org/10.1186/1471-2121-8-S1-S2

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