[HTML][HTML] Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Review of federated learning and machine learning-based methods for medical image analysis
N Hernandez-Cruz, P Saha… - Big Data and …, 2024 - search.proquest.com
Federated learning is an emerging technology that enables the decentralised training of
machine learning-based methods for medical image analysis across multiple sites while …
machine learning-based methods for medical image analysis across multiple sites while …
Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm
Abstract Large Vision-Language Models (LVLMs) have demonstrated remarkable
capabilities in various multimodal tasks. However their potential in the medical domain …
capabilities in various multimodal tasks. However their potential in the medical domain …
DeepFake knee osteoarthritis X-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification
Recent developments in deep learning have impacted medical science. However, new
privacy issues and regulatory frameworks have hindered medical data sharing and …
privacy issues and regulatory frameworks have hindered medical data sharing and …
Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai
Large Vision-Language Models (LVLMs) are capable of handling diverse data types such as
imaging, text, and physiological signals, and can be applied in various fields. In the medical …
imaging, text, and physiological signals, and can be applied in various fields. In the medical …
Recognition of knee osteoarthritis (KOA) using YOLOv2 and classification based on convolutional neural network
U Yunus, J Amin, M Sharif, M Yasmin, S Kadry… - Life, 2022 - mdpi.com
Knee osteoarthritis (KOA) is one of the deadliest forms of arthritis. If not treated at an early
stage, it may lead to knee replacement. That is why early diagnosis of KOA is necessary for …
stage, it may lead to knee replacement. That is why early diagnosis of KOA is necessary for …
Knee osteoarthritis detection and classification using x-rays
Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …
Osteo-net: An automated system for predicting knee osteoarthritis from x-ray images using transfer-learning-based neural networks approach
Knee osteoarthritis is a challenging problem affecting many adults around the world. There
are currently no medications that cure knee osteoarthritis. The only way to control the …
are currently no medications that cure knee osteoarthritis. The only way to control the …
Classification of osteo-arthritis with the help of deep learning and transfer learning
Osteoarthritis is a degenerative disorder of the joints that negatively impacts the cartilage,
bones, and tissues around them. The afflicted joints may experience discomfort, stiffness …
bones, and tissues around them. The afflicted joints may experience discomfort, stiffness …
Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images
Abstract The Kellgren–Lawrence (KL) grading system is a scoring system for classifying the
severity of knee osteoarthritis using X-ray images, and it is the standard X-ray-based grading …
severity of knee osteoarthritis using X-ray images, and it is the standard X-ray-based grading …