The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses.
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| Title: | The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses. |
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| Authors: | Lee DJ; Department of Otolaryngology-Head and Neck Surgery, Unity Health TorontoSt. Michael's Hospital, University of Toronto, 30 Bond Street, 8 Cardinal Carter Wing, Toronto, ON, M5B 1W8, Canada. Daniel.Lee@unityhealth.to.; Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, North York General Hospital, University of Toronto, Toronto, Canada. Daniel.Lee@unityhealth.to., Hamghalam M; School of Computing, Queen's University, Kingston, ON, Canada.; Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran., Wang L; Department of Otolaryngology-Head and Neck Surgery, Unity Health TorontoSt. Michael's Hospital, University of Toronto, 30 Bond Street, 8 Cardinal Carter Wing, Toronto, ON, M5B 1W8, Canada., Lin HM; Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran., Colak E; Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.; The Li Ka Shing Centre for Healthcare Analytics Research & Training, Unity Health Toronto, St. Michael's Hospital, Toronto, Canada., Mamdani M; Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran., Simpson AL; School of Computing, Queen's University, Kingston, ON, Canada.; Department of Medical Imaging, Unity Health Toronto, University of Toronto, Toronto, Canada., Lee JM; Department of Otolaryngology-Head and Neck Surgery, Unity Health TorontoSt. Michael's Hospital, University of Toronto, 30 Bond Street, 8 Cardinal Carter Wing, Toronto, ON, M5B 1W8, Canada. |
| Source: | Biomedical engineering online [Biomed Eng Online] 2025 Apr 27; Vol. 24 (1), pp. 49. Date of Electronic Publication: 2025 Apr 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101147518 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-925X (Electronic) Linking ISSN: 1475925X NLM ISO Abbreviation: Biomed Eng Online Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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