Deep learning for cartilaginous tumor classification using CT and MRI

Objectives and questions: Tumors of the musculoskeletal system are rare and heterogeneous which leads to limited experience among non-tumor experts. Three entities — Enchondroma, Chondrosarcoma, and Atypical Cartilaginous Tumor — are of particular clinical significance due to their distinct [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-10-31
DOI
https://doi.org/10.3205/25dkou471
Primary Topic
Bone Tumor Diagnosis and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning for cartilaginous tumor classification using CT and MRI

German Medical Science (German Research Foundation)
Bone Tumor Diagnosis and Treatments
article

Deep learning for cartilaginous tumor classification using CT and MRI

article en

Abstract

Objectives and questions: Tumors of the musculoskeletal system are rare and heterogeneous which leads to limited experience among non-tumor experts. Three entities — Enchondroma, Chondrosarcoma, and Atypical Cartilaginous Tumor — are of particular clinical significance due to their distinct [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Technical University of Munich (DE)
Openalex Percentile: Top 34%
Bone Tumor Diagnosis and Treatments
DOIOpen Access PDFOpenAlex
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Deep learning for cartilaginous tumor classification using CT and MRI · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS