SAROS: A dataset for whole-body region and organ segmentation in CT imaging.
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| Title: | SAROS: A dataset for whole-body region and organ segmentation in CT imaging. |
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| Authors: | Koitka S; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Baldini G; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Kroll L; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., van Landeghem N; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Pollok OB; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Haubold J; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Pelka O; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Data Integration Center, Central IT Department, University Hospital Essen, Essen, Germany., Kim M; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Kleesiek J; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Nensa F; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany., Hosch R; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany. rene.hosch@uk-essen.de.; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany. rene.hosch@uk-essen.de. |
| Source: | Scientific data [Sci Data] 2024 May 10; Vol. 11 (1), pp. 483. Date of Electronic Publication: 2024 May 10. |
| Publication Type: | Dataset; Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2052-4463 |
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| DOI: | 10.1038/s41597-024-03337-6 |
