[HTML][HTML] Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis
Objective To assess the ability of texture features for detecting radiographic patellofemoral
osteoarthritis (PFOA) from knee lateral view radiographs. Design We used lateral view knee …
osteoarthritis (PFOA) from knee lateral view radiographs. Design We used lateral view knee …
KNEEL: Knee anatomical landmark localization using hourglass networks
A Tiulpin, I Melekhov… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
This paper addresses the challenge of localization of anatomical landmarks in knee X-ray
images at different stages of osteoarthritis (OA). Landmark localization can be viewed as …
images at different stages of osteoarthritis (OA). Landmark localization can be viewed as …
[HTML][HTML] Adaptive segmentation of knee radiographs for selecting the optimal ROI in texture analysis
Objective The purposes of this study were to investigate: 1) the effect of placement of region-
of-interest (ROI) for texture analysis of subchondral bone in knee radiographs, and 2) the …
of-interest (ROI) for texture analysis of subchondral bone in knee radiographs, and 2) the …
[HTML][HTML] Subchondral tibial bone texture predicts the incidence of radiographic knee osteoarthritis: data from the Osteoarthritis Initiative
Objectives To evaluate whether trabecular bone texture (TBT) parameters measured on
computed radiographs (CR) could predict the onset of radiographic knee osteoarthritis (OA) …
computed radiographs (CR) could predict the onset of radiographic knee osteoarthritis (OA) …
[PDF][PDF] A survey on exploration and classification of osteoarthritis using image processing techniques
SS Gornale, PU Patravali… - International Journal of …, 2016 - researchgate.net
Osteoarthritis is one of the prime causes of infirmity in elderly and overweight people.
Osteoarthritis is a joint disease that mostly affects the cartilage. Cartilage helps the easy …
Osteoarthritis is a joint disease that mostly affects the cartilage. Cartilage helps the easy …
A lightweight CNN and joint shape-joint space () descriptor for radiological osteoarthritis detection
Knee osteoarthritis (OA) is very common progressive and degenerative musculoskeletal
disease worldwide creates a heavy burden on patients with reduced quality of life and also …
disease worldwide creates a heavy burden on patients with reduced quality of life and also …
Diagnosis of osteoporosis disease from bone X-ray images with stacked sparse autoencoder and SVM classifier
This paper focuses on the problem of osteoporosis disease diagnosis from bone X-ray
images. The proposed approach takes advantage of the deep learning robustness to extract …
images. The proposed approach takes advantage of the deep learning robustness to extract …
Osteo-net: A robust deep learning-based diagnosis of osteoporosis using x-ray images
Osteoporosis results in the deterioration of bone tissues and this problem is prevalent
among people all over the world, especially older people. The diagnosis of osteoporosis is …
among people all over the world, especially older people. The diagnosis of osteoporosis is …
Alternative cone-beam CT method for the analysis of mandibular condylar bone in patients with degenerative joint disease
I Gumussoy, SB Duman - Oral radiology, 2020 - Springer
Objective The aim of this study was to investigate the use of 3D microstructural bone
analysis in patients with degenerative joint disorder (DJD) to enhance the diagnostic …
analysis in patients with degenerative joint disorder (DJD) to enhance the diagnostic …
Lossless compression-based detection of osteoporosis using bone X-ray imaging
K Alshamrani, HA Alshamrani - Journal of X-Ray Science and …, 2024 - content.iospress.com
BACKGROUND: Digital X-ray imaging is essential for diagnosing osteoporosis, but
distinguishing affected patients from healthy individuals using these images remains …
distinguishing affected patients from healthy individuals using these images remains …