Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network.
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| Title: | Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network. |
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| Authors: | Rinneburger M; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany. miriam.rinneburger@uk-koeln.de., Carolus H; Philips Research, Hamburg, Germany., Iuga AI; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Weisthoff M; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Lennartz S; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Hokamp NG; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Caldeira L; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Shahzad R; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Innovative Technologies, Philips Healthcare, Aachen, Germany., Maintz D; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Laqua FC; Institute of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany., Baeßler B; Institute of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany., Klinder T; Philips Research, Hamburg, Germany., Persigehl T; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany. |
| Source: | European radiology experimental [Eur Radiol Exp] 2023 Jul 28; Vol. 7 (1), pp. 45. Date of Electronic Publication: 2023 Jul 28. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| 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 |
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| ISSN: | 2509-9280 |
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| DOI: | 10.1186/s41747-023-00360-x |
