Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow.
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| Title: | Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. |
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| Authors: | Hering A; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany. alessa.hering@mevis.fraunhofer.de.; Diagnostic Image Analysis Group, Radboudumc, Nijmegen, Netherlands. alessa.hering@mevis.fraunhofer.de., Westphal M; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Gerken A; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Almansour H; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany., Maurer M; Radiologisches Zentrum Offenbach-Dietzenbach, Dietzenbach, Germany., Geisler B; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Kohlbrandt T; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Eigentler T; Department of Dermatology, Center of Dermato-Oncology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Department of Dermatology, Venereology and Allergology, Charité University Hospital Berlin, Berlin, Germany., Amaral T; Department of Dermatology, Center of Dermato-Oncology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany., Lessmann N; Diagnostic Image Analysis Group, Radboudumc, Nijmegen, Netherlands., Gatidis S; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Max Planck Institute for Intelligent Systems, Tübingen, Germany., Hahn H; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Nikolaou K; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Faculty of Medicine, Eberhard Karls University, Tübingen, Germany., Othman A; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Institute of Neuroradiology, Johannes Gutenberg University Hospital Mainz, Mainz, Germany., Moltz J; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Peisen F; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany. |
| Source: | International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Sep; Vol. 19 (9), pp. 1689-1697. Date of Electronic Publication: 2024 May 30. |
| Publication Type: | Journal Article; Multicenter Study; Validation Study |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1861-6429 |
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| DOI: | 10.1007/s11548-024-03181-4 |
