The Role of Digital Biomarkers in Cancer Research and Patient Care
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DOI: 10.26717/BJSTR.2019.17.003009
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- Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 542(7639), pages 115-118, February.
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More about this item
Keywords
Biomedical Sciences; Biomedical Research; Technical Research; Digital Biomarker; Cancer; Wearable; Machine Learning; Digital Pathology; Clinical Trials;All these keywords.
JEL classification:
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- Z0 - Other Special Topics - - General
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