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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Methods Letter to the Editors
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516237/
https://www.ncbi.nlm.nih.gov/pubmed/27783441
http://dx.doi.org/10.1111/exd.13250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516237/
https://www.ncbi.nlm.nih.gov/pubmed/27783441
http://dx.doi.org/10.1111/exd.13250

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