Digital imaging biomarkers feed machine learning for melanoma screening

We developed an automated approach for generating quantitative image analysis metrics (imaging biomarkers) that are then analysed with a set of 13 machine learning algorithms to generate an overall risk score that is called a Q‐score. These methods were applied to a set of 120 “difficult” dermoscopy...

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Bibliografische gegevens
Gepubliceerd in:Exp Dermatol
Hoofdauteurs: Gareau, Daniel S., Correa da Rosa, Joel, Yagerman, Sarah, Carucci, John A., Gulati, Nicholas, Hueto, Ferran, DeFazio, Jennifer L., Suárez‐Fariñas, Mayte, Marghoob, Ashfaq, Krueger, James G.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: John Wiley and Sons Inc. 2016
Onderwerpen:
Methods Letter to the Editors
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5516237/
https://ncbi.nlm.nih.gov/pubmed/27783441
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/exd.13250
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