Papers › Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models
Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models
Fatih Uysal, Fırat Hardalaç, Ozan Peker, Tolga Tolunay, Nil Tokgöz
Fractures occur in the shoulder area, which has a wider range of motion than other joints in the body, for various reasons. To diagnose these fractures, data gathered from Xradiation (X-ray), magnetic resonance imaging (MRI), or computed tomography (CT) are used. This study aims to help physicians by classifying shoulder images taken from X-ray devices as fracture / non-fracture with artificial intelligence. For this purpose, the performances of 26 deep learning-based pretrained models in the detection of shoulder fractures were evaluated on the musculoskeletal radiographs (MURA) dataset, and two ensemble learning models (EL1 and EL2) were developed. The pretrained models used are ResNet, ResNeXt, DenseNet, VGG, Inception, MobileNet, and their spinal fully connected (Spinal FC) versions. In the EL1 and EL2 models developed using pretrained models with the best performance, test accuracy was 0.8455,0.8472, Cohens kappa was 0.6907, 0.6942 and the area that was related with fracture class under the receiver operating characteristic (ROC) curve (AUC) was 0.8862,0.8695. As a result of 28 different classifications in total, the highest test accuracy and Cohens kappa values were obtained in the EL2 model, and the highest AUC value was obtained in the EL1 model.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Image Classification | Fracture/Normal Shoulder Bone X-ray Images on MURA | Our Ensemble Learning-2 | Cohen’s Kappa score | 0.6942 | #1 of 2 | Archive leaderboard | report |
| Image Classification | Fracture/Normal Shoulder Bone X-ray Images on MURA | Our Ensemble Learning-2 | Test Accuracy | 84.72% | #1 of 2 | Archive leaderboard | report |
| Image Classification | Fracture/Normal Shoulder Bone X-ray Images on MURA | Our Ensemble Learning-1 | AUC score | 0.8862 | #2 of 2 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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