Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.
Saved in:
| Title: | Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification. |
|---|---|
| Authors: | Rama E; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany., Yu S; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany., Schraven S; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.; Gremse-IT GmbH, Aachen, Germany., Gurberg Z; Gremse-IT GmbH, Aachen, Germany., Savina E; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany., Liu J; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany., Magnuska ZA; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.; Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria., Gremse F; Gremse-IT GmbH, Aachen, Germany., Kiessling F; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany. fkiessling@ukaachen.de. |
| Source: | European radiology experimental [Eur Radiol Exp] 2026 May 29; Vol. 10 (1). Date of Electronic Publication: 2026 May 29. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
