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Deep learning detection and classification of fungal and non-fungal calcifications on paranasal sinus CT imaging.

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Title: Deep learning detection and classification of fungal and non-fungal calcifications on paranasal sinus CT imaging.
Authors: Yang Z; Department of Computer Engineering, Soonchunhyang University, Asan, Republic of Korea.; Biomedical research center, Korea University Guro Hospital, Seoul, Republic of Korea., Choi I; Biomedical research center, Korea University Guro Hospital, Seoul, Republic of Korea.; Seers Technology Co. Ltd., Gyeonggi-do, Republic of Korea., Yun H; Biomedical research center, Korea University Guro Hospital, Seoul, Republic of Korea.; Korea University College of Medicine, Seoul, Republic of Korea., Kim S; Biomedical research center, Korea University Guro Hospital, Seoul, Republic of Korea.; Department of Electrical and Computer Engineering, College of Engineering, Seoul National University, Seoul, Republic of Korea., Jung HN; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea., Suh S; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea., Kim BK; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Anam Hospital, Seoul, Republic of Korea., Kim B; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Anam Hospital, Seoul, Republic of Korea., You SH; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Anam Hospital, Seoul, Republic of Korea., Ryoo I; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Source: PloS one [PLoS One] 2026 Jan 20; Vol. 21 (1), pp. e0340832. Date of Electronic Publication: 2026 Jan 20 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
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  Data: Deep learning detection and classification of fungal and non-fungal calcifications on paranasal sinus CT imaging.
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  Data: <searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; Department of Computer Engineering, Soonchunhyang University, Asan, Republic of Korea.; Biomedical research center, Korea University Guro Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+I%22">Choi I</searchLink>; Biomedical research center, Korea University Guro Hospital, Seoul, Republic of Korea.; Seers Technology Co. Ltd., Gyeonggi-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yun+H%22">Yun H</searchLink>; Biomedical research center, Korea University Guro Hospital, Seoul, Republic of Korea.; Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Biomedical research center, Korea University Guro Hospital, Seoul, Republic of Korea.; Department of Electrical and Computer Engineering, College of Engineering, Seoul National University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+HN%22">Jung HN</searchLink>; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Suh+S%22">Suh S</searchLink>; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+BK%22">Kim BK</searchLink>; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Anam Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+B%22">Kim B</searchLink>; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Anam Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22You+SH%22">You SH</searchLink>; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Anam Hospital, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ryoo+I%22">Ryoo I</searchLink>; Korea University College of Medicine, Seoul, Republic of Korea.; Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jan 20; Vol. 21 (1), pp. e0340832. <i>Date of Electronic Publication: </i>2026 Jan 20 (<i>Print Publication: </i>2026).
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