Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks‡-Reference-Cited by-同舟云学术

Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks‡

Published:2020-02-12 Issue:7 Volume:104 Page:3157-3166
ISSN:0175-7598
Container-title:Applied Microbiology and Biotechnology
language:en
Short-container-title:Appl Microbiol Biotechnol

Author:

Kang Rui,Park Bosoon^ORCID,Eady Matthew,Ouyang Qin,Chen Kunjie

Publisher

Springer Science and Business Media LLC

Subject

Applied Microbiology and Biotechnology,General Medicine,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s00253-020-10387-4.pdf

Reference33 articles.

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3. CDC (Centers for Disease Control and Prevention) (2019), Foodborne illnesses and germs. https://www.cdc.gov/foodsafety/foodborne-germs.html [Accessed 4 August 2019]

4. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273–297. https://doi.org/10.1007/BF00994018

5. Eady M, Setia G, Park B (2019) Detection of Salmonella from chicken rinsate with visible/near-infrared hyperspectral microscope imaging compared against RT-PCR. Talanta 195:313–319. https://doi.org/10.1016/j.talanta.2018.11.071

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