Non-contiguous computed tomography lung scans can be manipulated to permit artificial intelligence analyses for interstitial lung disease in systemic sclerosis.

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Title: Non-contiguous computed tomography lung scans can be manipulated to permit artificial intelligence analyses for interstitial lung disease in systemic sclerosis.
Authors: Baron M; Department of Medicine, McGill University, Montreal, QC H4A 2J9, Canada., Nguyen Q; McGill University, Montreal, QC H3A 0G4, Canada., Kovacina B; Department of Radiology, McGill University, Montreal, QC H3A 0G4, Canada., Van Eeden C; Department of Medicine, University of Alberta, Edmonton, AL T6G 2R3, Canada., Langs G; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna 1090, Austria.
Source: Biology methods & protocols [Biol Methods Protoc] 2026 May 22; Vol. 11 (1), pp. bpag024. Date of Electronic Publication: 2026 May 22 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101693064 Publication Model: eCollection Cited Medium: Internet ISSN: 2396-8923 (Electronic) Linking ISSN: 23968923 NLM ISO Abbreviation: Biol Methods Protoc Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Non-contiguous computed tomography lung scans can be manipulated to permit artificial intelligence analyses for interstitial lung disease in systemic sclerosis.
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  Data: <searchLink fieldCode="AU" term="%22Baron+M%22">Baron M</searchLink>; Department of Medicine, McGill University, Montreal, QC H4A 2J9, Canada.<br /><searchLink fieldCode="AU" term="%22Nguyen+Q%22">Nguyen Q</searchLink>; McGill University, Montreal, QC H3A 0G4, Canada.<br /><searchLink fieldCode="AU" term="%22Kovacina+B%22">Kovacina B</searchLink>; Department of Radiology, McGill University, Montreal, QC H3A 0G4, Canada.<br /><searchLink fieldCode="AU" term="%22Van+Eeden+C%22">Van Eeden C</searchLink>; Department of Medicine, University of Alberta, Edmonton, AL T6G 2R3, Canada.<br /><searchLink fieldCode="AU" term="%22Langs+G%22">Langs G</searchLink>; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna 1090, Austria.
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  Data: <searchLink fieldCode="JN" term="%22101693064%22">Biology methods & protocols</searchLink> [Biol Methods Protoc] 2026 May 22; Vol. 11 (1), pp. bpag024. <i>Date of Electronic Publication: </i>2026 May 22 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101693064 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2396-8923 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223968923%22">23968923 </searchLink><i>NLM ISO Abbreviation: </i>Biol Methods Protoc <i>Subsets: </i>PubMed not MEDLINE
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      – TitleFull: Non-contiguous computed tomography lung scans can be manipulated to permit artificial intelligence analyses for interstitial lung disease in systemic sclerosis.
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