A deep learning model for classification of chondroid tumors on CT images.
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| Title: | A deep learning model for classification of chondroid tumors on CT images. |
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| Authors: | Gassert FG; Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA, 94143, USA.; Department of Radiology, Klinikum Rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Lang D; Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Department of Radiation Oncology, School of Medicine and Health, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Hesse N; Department of Radiology, LMU University Hospital, LMU Munich, Marchioninistraße 13, 80337, Munich, Germany., Dürr HR; Orthopaedic Oncology, Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU Klinikum, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany., Klein A; Orthopaedic Oncology, Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU Klinikum, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany., Kohll L; Department of Radiology, Klinikum Rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Hinterwimmer F; Department of Orthopaedics and Sports Orthopaedics, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany.; Institute for AI and Informatics in Medicine, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany., Luitjens J; Department of Radiology, LMU University Hospital, LMU Munich, Marchioninistraße 13, 80337, Munich, Germany., Weissinger S; Department of Radiology, LMU University Hospital, LMU Munich, Marchioninistraße 13, 80337, Munich, Germany., Peeken JC; Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Department of Radiation Oncology, School of Medicine and Health, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Mogler C; Department of Pathology, Klinikum Rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Knebel C; Department of Orthopaedics and Sports Orthopaedics, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Bartzsch S; Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Department of Radiation Oncology, School of Medicine and Health, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany., Gassert FT; Department of Radiology, Klinikum Rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany. florian.gassert@tum.de., Gersing AS; Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA, 94143, USA. alexandra.gersing@med.uni-muenchen.de.; Department of Neuroradiology, LMU University Hospital, LMU Munich, Marchioninistraße 13, 80337, Munich, Germany. alexandra.gersing@med.uni-muenchen.de. |
| Source: | BMC cancer [BMC Cancer] 2025 Mar 28; Vol. 25 (1), pp. 561. Date of Electronic Publication: 2025 Mar 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2407 |
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| DOI: | 10.1186/s12885-025-13951-1 |
