KONet: Towards a Weighted Ensemble Learning Model for Knee Osteoporosis Classification
Knee osteoporosis (KOP) is a skeletal disorder characterized by bone tissue degradation
and low bone density, leading to a high risk of bone fractures in the knee area. The …
and low bone density, leading to a high risk of bone fractures in the knee area. The …
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 …
Multi-View Computed Tomography Network for Osteoporosis Classification
DH Hwang, SH Bak, TJ Ha, Y Kim, WJ Kim… - IEEE Access, 2023 - ieeexplore.ieee.org
Osteoporosis is a skeletal disease that is difficult to identify in advance of symptoms. Existing
skeletal disease screening methods, such as dual-energy X-ray absorptiometry, are only …
skeletal disease screening methods, such as dual-energy X-ray absorptiometry, are only …
[HTML][HTML] Automatic knee osteoarthritis diagnosis from plain radiographs: a deep learning-based approach
Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis is
currently conducted by assessing symptoms and evaluating plain radiographs, but this …
currently conducted by assessing symptoms and evaluating plain radiographs, but this …
[PDF][PDF] Evaluation of parameter fine-tuning with transfer learning for osteoporosis classification in knee radiograph
Osteoporosis is a bone disease that raises the risk of fracture due to the density of the bone
mineral being low and the decline of the structure of bone tissue. Among other techniques …
mineral being low and the decline of the structure of bone tissue. Among other techniques …
A robust framework for severity detection of knee osteoarthritis using an efficient deep learning model
With the changing lifestyle, a large population suffers from a bone disease known as an
osteoarthritis affecting the knee, spine, and hip. Therefore, timely detection and classification …
osteoarthritis affecting the knee, spine, and hip. Therefore, timely detection and classification …
Two-Stage Convolutional Neural Network for Knee Osteoarthritis Diagnosis in X-Rays
Knee osteoarthritis (OA) is a common musculoskeletal illness. To solve the problem that
inaccurate knee joint localization and inadequate knee OA features extracted from plain …
inaccurate knee joint localization and inadequate knee OA features extracted from plain …
[HTML][HTML] Detection and classification of knee osteoarthritis
JH Cueva, D Castillo, H Espinós-Morató, D Durán… - Diagnostics, 2022 - mdpi.com
Osteoarthritis (OA) affects nearly 240 million people worldwide. Knee OA is the most
common type of arthritis, especially in older adults. Physicians measure the severity of knee …
common type of arthritis, especially in older adults. Physicians measure the severity of knee …
A discriminative shape-texture convolutional neural network for early diagnosis of knee osteoarthritis from X-ray images
Knee Osteoarthritis (OA) is one of the most common causes of physical disability worldwide
associated with a significant personal and socioeconomic burden. Deep Learning …
associated with a significant personal and socioeconomic burden. Deep Learning …
Deep neural networks for automatic classification of knee osteoarthritis severity based on X-ray images
R Tri Wahyuningrum, A Yasid… - Proceedings of the 2020 …, 2020 - dl.acm.org
Knee Osteoarthritis (KOA) is a type of chronic disease that commonly occurs in older, obese
citizens and those with a sedentary lifestyle. This disease causes damage to knee cartilage …
citizens and those with a sedentary lifestyle. This disease causes damage to knee cartilage …