Fracture detection
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Benchmarks
GRAZPEDWRI-DX
Most implemented
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Self-Supervised Multiview Xray Matching
Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays
A Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body
Papers
RibAssist 3D: Biplanar Rib-Fracture Detection, Addressing, and Selective 3D Localization from CT-Derived Projections
Rib fractures are common and time-consuming to localize on computed tomography (CT). We ask whether fractures detected independently in two orthogonal CT-derived projections (anteroposterior and lateral) can be paired ac…
Fracture detectionRobust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision
It is often desirable to generalize medical imaging AI models trained with dense annotations to data acquired from different ultrasound scanners or clinical sites; however, retraining these models with new annotations is…
Domain GeneralizationContrastive LearningFederated LearningFracture detectionA generalizable large-scale foundation model for musculoskeletal radiographs
Artificial intelligence (AI) has shown promise in detecting and characterizing musculoskeletal diseases from radiographs. However, most existing models remain task-specific, annotation-dependent, and limited in generaliz…
Self-Supervised LearningFracture detectionEnhanced Fracture Diagnosis Based on Critical Regional and Scale Aware in YOLO
Fracture detection plays a critical role in medical imaging analysis, traditional fracture diagnosis relies on visual assessment by experienced physicians, however the speed and accuracy of this approach are constrained …
Fracture detectionFracDetNet: Advanced Fracture Detection via Dual-Focus Attention and Multi-scale Calibration in Medical X-ray Imaging
In this paper, an advanced fracture detection framework, FracDetNet, is proposed to address challenges in medical imaging, as accurate fracture detection is essential for enhancing diagnostic efficiency in clinical pract…
Fracture detectionInvisible Yet Detected: PelFANet with Attention-Guided Anatomical Fusion for Pelvic Fracture Diagnosis
Pelvic fractures pose significant diagnostic challenges, particularly in cases where fracture signs are subtle or invisible on standard radiographs. To address this, we introduce PelFANet, a dual-stream attention network…
Fracture detection