A study on Medical Image analysis of Bone Fractures using Deep Learning focusing on Radiology Scans
Keywords:
Bone Fracture Detection, Deep Learning, Radiology Scans, X ray Imaging, Medical Imaging, Bone Density Metrics, Artificial Intelligence in Healthcare, Convolutional Neural Networks (CNNs), Ankle Fractures, De tection, Classification, Localization, Segmentation, Diagnostic Imaging, Or thopedic Trauma Surgery.Abstract
Bone fractures are amongst the most common health conditionsin any medical book and are dangerous as this is particularly true among vulnerable populations, such as elderly people and osteoporosis patients. Earlydiagnosis is pretty fundamental for proper treatment and healing process. Traditional methods of imagining applied using X-rays are unable to detect a minor fracture like hairline cracking. This paper introduces a deep learning-based
References
Yadav, Dhirendra Prasad, et al. "Hybrid SFNet model for bone fracture de-tection and classification using ML/DL." Sensors 22.15 (2022): 5823.
Meena, Tanushree, and Sudipta Roy. "Bone fracture detection using deep supervised learning from radiological images: A paradigm shift." Diagnos-tics 12.10 (2022): 2420.
