Application of deep learning for the occupational health of VDT workers

Mitsuo Uchida; Koji Noshita; Hiroshi Koyama

doi:10.1539/sangyoeisei.2018-040-C

Application of deep learning for the occupational health of VDT workers

Mitsuo Uchida, Koji Noshita, Hiroshi Koyama

dynamic biology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Original language	English
Pages (from-to)	256-260
Number of pages	5
Journal	Sangyo eiseigaku zasshi = Journal of occupational health
Volume	61
Issue number	6
DOIs	https://doi.org/10.1539/sangyoeisei.2018-040-C
Publication status	Published - Nov 25 2019

All Science Journal Classification (ASJC) codes

Medicine(all)

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10.1539/sangyoeisei.2018-040-C

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title = "Application of deep learning for the occupational health of VDT workers",

author = "Mitsuo Uchida and Koji Noshita and Hiroshi Koyama",

year = "2019",

month = nov,

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doi = "10.1539/sangyoeisei.2018-040-C",

language = "English",

volume = "61",

pages = "256--260",

journal = "Journal of Occupational Health",

issn = "1341-9145",

publisher = "Japan Society for Occupational Health",

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}

TY - JOUR

T1 - Application of deep learning for the occupational health of VDT workers

AU - Uchida, Mitsuo

AU - Noshita, Koji

AU - Koyama, Hiroshi

PY - 2019/11/25

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DO - 10.1539/sangyoeisei.2018-040-C

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VL - 61

SP - 256

EP - 260

JO - Journal of Occupational Health

JF - Journal of Occupational Health

IS - 6

ER -

Application of deep learning for the occupational health of VDT workers

All Science Journal Classification (ASJC) codes

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