Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative
Knee osteoarthritis (OA) is a prevalent musculoskeletal condition affecting millions worldwide, posing significant health and economic burdens. Characterized by the degeneration of joint cartilage, the progression of knee OA varies significantly among individuals, making its prediction a complex iss...
Saved in:
Main Authors: | Teh, Xin Yu, Yeoh, Pauline Shan Qing, Wang, Tao, Wu, Xiang, Hasikin, Khairunnisa, Lai, Khin Wee |
---|---|
Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers
2024
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/47130/ https://doi.org/10.1109/ACCESS.2024.3472654 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Emergence of deep learning in knee osteoarthritis diagnosis
by: Yeoh, Pauline Shan Qing, et al.
Published: (2021) -
Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative
by: Yeoh, Pauline Shan Qing, et al.
Published: (2023) -
An Efficient Neural Network for Segmenting Multiple Joint Tissues From Knee MRI With Hyperparameter Optimization: Data From the Osteoarthritis Initiative
by: Shan Qing Yeoh, Pauline, et al.
Published: (2024) -
Features and modalities for assessing early knee osteoarthritis
by: Ahmad Fadzil, Mohd Hani
Published: (2011) -
Features and Modalities for Assessing Early Knee Osteoarthritis
by: Mohd Hani, Ahmad Fadzil, et al.
Published: (2011)