A dataset containing 1257 shoulder radiographs from 406 patients. Shoulder fractures in the humerus, clavicle and scapula are classified according to the 2018 AO/OTA classification. The radiographs are also classified for degenerative conditions such as osteoarthritis, avascular necrosis and cuff arthropathy. The radiographs are classified by experienced orthopaedic surgeons specialized in shoulder surgery.
Keywords: Pathology, Annotated, Plain radiographs, Shoulder, Clavicle, Scapula, Humerus, Fracture, Osteoarthritis, Cuff arthropathy.
Sample images with reduced image quality. Please click to preview.
|Cite as||Max Gordon and Martin Magnéli (2023) Shoulder radiographs classified on both fractures according to 2018 AO/OTA and classified degenerative conditions doi:10.23698/aida/sr2023|
|Title||Shoulder radiographs classified on both fractures according to 2018 AO/OTA and classified degenerative conditions|
|Resolution||Various. Image sizes vary from 800x600px to 2000x1000px.|
|Copyright||Copyright 2023 Karolinska Institutet, Max Gordon|
Available under the following licenses, described in the License section below.
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Manually annotated by experienced orthopedic surgeons. Classification for fractures according to 2018 AO/OTA. OA according to Samilson-Prieto. Avascular necrosis according to Cruess. Cuff arthropathy according to Hamada. Glenoid according to Favard.
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AIDA BY license
Copyright 2023 Karolinska Institutet, Max Gordon
Permission to use, copy, modify, and/or distribute this data within Analytic Imaging Diagnostics Arena (AIDA) for the purpose of medical diagnostics research with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies, and that publications resulting from the use of this data cite the following works:
Max Gordon and Martin Magnéli (2023) Shoulder radiographs classified on both fractures according to 2018 AO/OTA and classified degenerative conditions doi:10.23698/aida/sr2023.
Magnéli M, Ling P, Gislén J, Fagrell J, Demir Y, Arverud ED, et al. (2023) Deep learning classification of shoulder fractures on plain radiographs of the humerus, scapula and clavicle. PLoS ONE 18(8): e0289808. https://doi.org/10.1371/journal.pone.0289808
THE DATA IS PROVIDED “AS IS” AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS DATA INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR CHARACTERISTICS OF THIS DATA.