Combining the use of CNN classification and strength‐driven compression for the robust identification of bacterial species on hyperspectral culture plate images

Combining the use of CNN classification and strength‐driven compression for the robust identification of bacterial species on hyperspectral culture plate images

Huge streams of diagnostic images are expected to be produced daily in the emerging field of digital microbiology imaging because of the ongoing worldwide spread of Full Laboratory Automation systems. This is redefining the way microbiologists execute diagnostic tasks. In this context, the authors w...

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Bibliographic Details
Main Authors: Alberto Signoroni, Mattia Savardi, Mario Pezzoni, Fabrizio Guerrini, Simone Arrigoni, Giovanni Turra
Format: Article
Language:English
Published: Wiley 2018-10-01
Series:IET Computer Vision
Subjects:
CNN classification
strength-driven compression
robust bacterial species identification
hyperspectral culture plate images
diagnostic images
digital microbiology imaging
Online Access:https://doi.org/10.1049/iet-cvi.2018.5237

Internet

https://doi.org/10.1049/iet-cvi.2018.5237

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