SPINEPS-automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation.
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| Title: | SPINEPS-automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation. |
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| Authors: | Möller H; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany. hendrik.moeller@tum.de.; Institut Für KI Und Informatik in Der Medizin, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany. hendrik.moeller@tum.de., Graf R; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Institut Für KI Und Informatik in Der Medizin, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany., Schmitt J; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany., Keinert B; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany., Schön H; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Rostock, Germany., Atad M; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Institut Für KI Und Informatik in Der Medizin, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany., Sekuboyina A; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Streckenbach F; Department of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Rostock, Germany., Kofler F; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Institut Für KI Und Informatik in Der Medizin, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.; Helmholtz AI, Helmholtz Munich, Neuherberg, Germany.; TranslaTUM-Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany., Kroencke T; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.; Centre for Advanced Analytics and Predictive Sciences, Augsburg University, Augsburg, Germany., Bette S; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany., Willich SN; Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany., Keil T; Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.; Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.; State Institute of Health I, Bavarian Health and Food Safety Auhtority, Erlangen, Germany., Niendorf T; Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany., Pischon T; Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.; Biobank Technology Platform, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.; Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Endemann B; Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany., Menze B; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Rueckert D; Institut Für KI Und Informatik in Der Medizin, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.; Department of Computing, Imperial College London, London, UK., Kirschke JS; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany. |
| Source: | European radiology [Eur Radiol] 2025 Mar; Vol. 35 (3), pp. 1178-1189. Date of Electronic Publication: 2024 Oct 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-024-11155-y |
