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References from Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images. Local targets link to admitted publications; unresolved targets remain external evidence.
Machine learning-based natural language processing of radiology reports in orthopaedic trauma
10.1016/j.cmpb.2021.106304 · 2021 · External reference
Medical expert and machine learning analysis of lumbar disc herniation based on magnetic resonance imaging
10.1016/j.cmpb.2021.106498 · 2022 · External reference
Unresolved reference
2016 · External reference
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Deep neural network improves fracture detection by clinicians
10.1073/pnas.1806905115 · 2018 · External reference
A novel hybrid machine learning based system to classify shoulder implant manufacturers
10.3390/healthcare10030580 · 2022 · External reference
Deep learning for orthopedic disease based on medical image analysis: Present and future
10.3390/app12020681 · 2022 · External reference
Deep learning in fracture detection: a narrative review
10.1080/17453674.2019.1711323 · 2020 · External reference
In-depth learning of automatic segmentation of shoulder joint magnetic resonance images based on convolutional neural networks
10.1016/j.cmpb.2021.106325 · 2021 · External reference
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
10.1186/s40537-023-00727-2 · 2023 · External reference
Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools
2024 · External reference
Skin lesion segmentation using two-phase cross-domain transfer learning framework
10.1016/j.cmpb.2023.107408 · 2023 · External reference
Domain-and task-specific transfer learning for medical segmentation tasks
10.1016/j.cmpb.2021.106539 · 2022 · External reference
Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks
10.1016/j.crad.2017.11.015 · 2018 · External reference
Towards a better understanding of transfer learning for medical imaging: a case study
10.3390/app10134523 · 2020 · External reference
Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: An experimental study
10.7717/peerj-cs.715 · 2021 · External reference
Incorporating a Novel Dual Transfer Learning Approach for Medical Images
10.3390/s23020570 · 2023 · External reference
Transfusion: Understanding transfer learning for medical imaging
2019 · External reference
10.1109/iccv48922.2021.00346
10.1109/iccv48922.2021.00346 · External reference
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
2023 · External reference
EGFR assessment in lung cancer CT images: analysis of local and holistic regions of interest using deep unsupervised transfer learning
10.1109/access.2021.3070701 · 2021 · External reference
Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography
10.1093/jamia/ocac135 · 2022 · External reference
Novel transfer learning approach for medical imaging with limited labeled data
10.3390/cancers13071590 · 2021 · External reference
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning
10.1038/s41551-022-00936-9 · 2022 · External reference
Self-supervised driven consistency training for annotation efficient histopathology image analysis
10.1016/j.media.2021.102256 · 2022 · External reference
Self-supervised learning in medicine and healthcare
10.1038/s41551-022-00914-1 · 2022 · External reference
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
2023 · External reference
Transfer learning for medical image classification: a literature review
10.1186/s12880-022-00793-7 · 2022 · External reference
Classification of shoulder x-ray images with deep learning ensemble models
10.3390/app11062723 · 2021 · External reference
Musculoskeletal images classification for detection of fractures using transfer learning
10.3390/jimaging6110127 · 2020 · External reference
Comparing stacking ensemble techniques to improve musculoskeletal fracture image classification
10.3390/jimaging7060100 · 2021 · External reference
Novel deep feature fusion framework for multi-scenario violence detection
10.3390/computers12090175 · 2023 · External reference
Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction
10.1016/j.engappai.2023.107627 · 2024 · External reference
10.1109/embc40787.2023.10340309
10.1109/embc40787.2023.10340309 · External reference
A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning
10.3390/diagnostics13101689 · 2023 · External reference
Towards risk-free trustworthy artificial intelligence: Significance and requirements
10.1155/2023/4459198 · 2023 · External reference
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
10.1016/j.cmpb.2022.107161 · 2022 · External reference
Advances, challenges and opportunities in creating data for trustworthy AI
10.1038/s42256-022-00516-1 · 2022 · External reference
Benchmarking saliency methods for chest X-ray interpretation
10.1038/s42256-022-00536-x · 2022 · External reference
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
2023 · External reference
Automated abnormality detection in lower extremity radiographs using deep learning
10.1038/s42256-019-0126-0 · 2019 · External reference
A calibrated deep learning ensemble for abnormality detection in musculoskeletal radiographs
10.1038/s41598-021-88578-w · 2021 · External reference
Fractured elbow classification using hand-crafted and deep feature fusion and selection based on whale optimization approach
10.3390/math10183291 · 2022 · External reference
10.1109/ehb55594.2022.9991496
10.1109/ehb55594.2022.9991496 · External reference