Clinical Validation and Extension of an Automated, Deep Learning–Based Algorithm for Quantitative Sinus CT Analysis Article Swipe

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Conner J. Massey , Laylaa Ramos , Daniel M. Beswick , Vijay R. Ramakrishnan , Stephen M. Humphries ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.3174/ajnr.a7616

Our quantitative processing of sinus CT images provides objective measures that correspond well to established visual scoring methods. While automation is a clear benefit here, validation may be needed in a prospective, multi-institutional setting.

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Medicine Osteitis Hounsfield scale Population Sinusitis Chronic rhinosinusitis Nuclear medicine Radiology Computed tomography Algorithm Internal medicine Surgery Osteomyelitis Environmental health Computer science

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Type: article
Language: en
Landing Page: https://doi.org/10.3174/ajnr.a7616
PDF: http://www.ajnr.org/content/ajnr/43/9/1318.full.pdf
OA Status: hybrid
Cited By: 19
References: 29
Related Works: 10
OpenAlex ID: https://openalex.org/W4297065619

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