The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses
Reporting of paranasal sinus CT can be automated and potentially standardized with a CNN model to provide accurate Lund-Mackay score.
Authors
- John M. Lee (ORCID: https://orcid.org/0000-0001-8473-4674)
- Amber L. Simpson (ORCID: https://orcid.org/0000-0002-4387-8417)
- Mohammad Hamghalam (ORCID: https://orcid.org/0000-0003-2543-0712)
- Hui Ming Lin (ORCID: https://orcid.org/0000-0002-9598-3921)
- Errol Colak (ORCID: https://orcid.org/0000-0002-3771-7975)
- Muhammad Mamdani (ORCID: https://orcid.org/0000-0001-5199-6344)
- Daniel J. Lee (ORCID: https://orcid.org/0000-0002-6990-4441)
- Lily Wang (ORCID: https://orcid.org/0000-0002-5107-438X)
Institutions
- Toronto Public Health (CA)
- University of Toronto (CA)
- Qazvin Islamic Azad University (IR)
- Queen's University (CA)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-04-27
- DOI
- https://doi.org/10.1186/s12938-025-01376-7
- Citations
- 2
- Primary Topic
- Sinusitis and nasal conditions
- Type
- article
- Field-Weighted Citation Impact
- 3.70