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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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Applications Notes
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6499410/
https://ncbi.nlm.nih.gov/pubmed/30304439
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty855
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