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Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2.

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Title: Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2.
Authors: Misera L; Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany.; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany., Nebelung S; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany., Carrero ZI; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany., Bressem K; Department of Diagnostic and Interventional Radiology, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.; Department of Cardiovascular Radiology and Nuclear Medicine, Technical University of Munich, School of Medicine and Health, German Heart Center, TUM University Hospital, Munich, Germany., Ligero M; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany., Kühn JP; Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany., Hoffmann RT; Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany., Truhn D; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany., Kather JN; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. kather.jn@tu-dresden.de.; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany. kather.jn@tu-dresden.de.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. kather.jn@tu-dresden.de.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. kather.jn@tu-dresden.de.
Source: BMC medical imaging [BMC Med Imaging] 2026 Jan 08; Vol. 26 (1), pp. 54. Date of Electronic Publication: 2026 Jan 08.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
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  Data: Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2.
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  Data: <searchLink fieldCode="AU" term="%22Misera+L%22">Misera L</searchLink>; Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany.; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Nebelung+S%22">Nebelung S</searchLink>; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Carrero+ZI%22">Carrero ZI</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Bressem+K%22">Bressem K</searchLink>; Department of Diagnostic and Interventional Radiology, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.; Department of Cardiovascular Radiology and Nuclear Medicine, Technical University of Munich, School of Medicine and Health, German Heart Center, TUM University Hospital, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Ligero+M%22">Ligero M</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Kühn+JP%22">Kühn JP</searchLink>; Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Hoffmann+RT%22">Hoffmann RT</searchLink>; Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Truhn+D%22">Truhn D</searchLink>; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. kather.jn@tu-dresden.de.; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany. kather.jn@tu-dresden.de.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. kather.jn@tu-dresden.de.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. kather.jn@tu-dresden.de.
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  Data: <searchLink fieldCode="JN" term="%22100968553%22">BMC medical imaging</searchLink> [BMC Med Imaging] 2026 Jan 08; Vol. 26 (1), pp. 54. <i>Date of Electronic Publication: </i>2026 Jan 08.
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              Text: 2026 Jan 08
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