CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis

MOTIVATION: Radiologists have used algorithms for Computer-Aided Diagnosis (CAD) for decades. These algorithms use machine learning with engineered features, and there have been mixed findings on whether they improve radiologists’ interpretations. Deep learning offers superior performance but requir...

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Detalles Bibliográficos
Autores principales: Badgeley, Marcus A, Liu, Manway, Glicksberg, Benjamin S, Shervey, Mark, Zech, John, Shameer, Khader, Lehar, Joseph, Oermann, Eric K, McConnell, Michael V, Snyder, Thomas M, Dudley, Joel T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499410/
https://www.ncbi.nlm.nih.gov/pubmed/30304439
http://dx.doi.org/10.1093/bioinformatics/bty855

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499410/
https://www.ncbi.nlm.nih.gov/pubmed/30304439
http://dx.doi.org/10.1093/bioinformatics/bty855

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