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Knee osteoarthritis (OA) is a common degenerate joint disorder that affects a large population of elderly people worldwide. Accurate radiographic assessment of knee OA severity plays a critical role in chronic patient management. Current…

Image and Video Processing · Electrical Eng. & Systems 2021-12-20 Kang Zheng , Yirui Wang , Chen-I Hsieh , Le Lu , Jing Xiao , Chang-Fu Kuo , Shun Miao

Knee Osteoarthritis (OA) is a destructive joint disease identified by joint stiffness, pain, and functional disability concerning millions of lives across the globe. It is generally assessed by evaluating physical symptoms, medical history,…

Image and Video Processing · Electrical Eng. & Systems 2024-10-28 Rohit Kumar Jain , Prasen Kumar Sharma , Sibaji Gaj , Arijit Sur , Palash Ghosh

Knee osteoarthritis (OA) is the most common musculoskeletal disease in the world. In primary healthcare, knee OA is diagnosed using clinical examination and radiographic assessment. Osteoarthritis Research Society International (OARSI)…

Image and Video Processing · Electrical Eng. & Systems 2019-07-19 Aleksei Tiulpin , Simo Saarakkala

Osteoarthritis (OA) is the most common musculoskeletal disease, with knee OA (KOA) being one of the leading causes of disability and a significant economic burden. Predicting KOA progression is crucial for improving patient outcomes,…

Machine Learning · Computer Science 2025-04-09 Khanh Nguyen , Huy Hoang Nguyen , Egor Panfilov , Aleksei Tiulpin

Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current treatment options are limited to symptomatic relief. Prediction of OA progression is a very challenging and timely issue, and it could, if…

Computer Vision and Pattern Recognition · Computer Science 2019-05-07 Aleksei Tiulpin , Stefan Klein , Sita M. A. Bierma-Zeinstra , Jérôme Thevenot , Esa Rahtu , Joyce van Meurs , Edwin H. G. Oei , Simo Saarakkala

Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis is currently conducted by assessing symptoms and evaluating plain radiographs, but this process suffers from subjectivity. In this study, we present a new…

Computer Vision and Pattern Recognition · Computer Science 2017-10-31 Aleksei Tiulpin , Jérôme Thevenot , Esa Rahtu , Petri Lehenkari , Simo Saarakkala

Diagnosing knee osteoarthritis (OA) early is crucial for managing symptoms and preventing further joint damage, ultimately improving patient outcomes and quality of life. In this paper, a bioimpedance-based diagnostic tool that combines…

Signal Processing · Electrical Eng. & Systems 2025-05-06 Jamal Al-Nabulsi , Mohammad Al-Sayed Ahmad , Baraa Hasaneiah , Fayhaa AlZoubi

Knee osteoarthritis (OA) is the most common joint disorder and a leading cause of disability. Diagnosing OA severity typically requires expert assessment of X-ray images and is commonly based on the Kellgren-Lawrence grading system, a…

Image and Video Processing · Electrical Eng. & Systems 2024-12-11 Nicharee Srikijkasemwat , Soumya Snigdha Kundu , Fuping Wu , Bartlomiej W. Papiez

Knee osteoarthritis (KOA) is among the musculoskeletal disorders that considerably restrict joint mobility, cause severe chronic pain and impact negatively on quality life. It is one of the persistent health issues worldwide. Generally,…

Artificial Intelligence · Computer Science 2026-05-08 Dayam Nadeem , Neha , Safdar Mustafa , Adnan Alvi , Mohd Hussain

Osteoarthritis (OA) is a common musculoskeletal condition typically diagnosed from radiographic assessment after clinical examination. However, a visual evaluation made by a practitioner suffers from subjectivity and is highly dependent on…

Computer Vision and Pattern Recognition · Computer Science 2017-04-07 Aleksei Tiulpin , Jérôme Thevenot , Esa Rahtu , Simo Saarakkala

Knee osteoarthritis (OA) is the most common osteoarthritis and a leading cause of disability. Cartilage defects are regarded as major manifestations of knee OA, which are visible by magnetic resonance imaging (MRI). Thus early detection and…

Image and Video Processing · Electrical Eng. & Systems 2022-01-13 Zixu Zhuang , Liping Si , Sheng Wang , Kai Xuan , Xi Ouyang , Yiqiang Zhan , Zhong Xue , Lichi Zhang , Dinggang Shen , Weiwu Yao , Qian Wang

Knee osteoarthritis (OA) is one of the most common musculoskeletal disorders and requires early-stage diagnosis. Nowadays, the deep convolutional neural networks have achieved greatly in the computer-aided diagnosis field. However, the…

Image and Video Processing · Electrical Eng. & Systems 2020-10-13 Jiayu Huo , Liping Si , Xi Ouyang , Kai Xuan , Weiwu Yao , Zhong Xue , Qian Wang , Dinggang Shen , Lichi Zhang

Osteoarthritis (OA) is one of the major health issues among the elderly population. MRI is the most popular technology to observe and evaluate the progress of OA course. However, the extreme labor cost of MRI analysis makes the process…

Computer Vision and Pattern Recognition · Computer Science 2021-02-17 Boyu Zhang , Yingtao Zhang , H. D. Cheng , Min Xian , Shan Gai , Olivia Cheng , Kuan Huang

This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, automatically localizing the knee joints; next, classifying the…

Computer Vision and Pattern Recognition · Computer Science 2017-03-30 Joseph Antony , Kevin McGuinness , Kieran Moran , Noel E O'Connor

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 on society due to financial impact. Therefore, any attempt to…

Image and Video Processing · Electrical Eng. & Systems 2020-05-26 Neslihan Bayramoglu , Miika T. Nieminen , Simo Saarakkala

This chapter presents the investigations and the results of feature learning using convolutional neural networks to automatically assess knee osteoarthritis (OA) severity and the associated clinical and diagnostic features of knee OA from…

Computer Vision and Pattern Recognition · Computer Science 2019-08-26 Joseph Antony , Kevin McGuinness , Kieran Moran , Noel E O' Connor

Medical imaging plays a crucial role in assessing knee osteoarthritis (OA) risk by enabling early detection and disease monitoring. Recent machine learning methods have improved risk estimation (i.e., predicting the likelihood of disease…

Computer Vision and Pattern Recognition · Computer Science 2025-06-18 David Butler , Adrian Hilton , Gustavo Carneiro

Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad,…

Image and Video Processing · Electrical Eng. & Systems 2024-09-26 Fabi Prezja , Leevi Annala , Sampsa Kiiskinen , Timo Ojala

Osteoarthritis (OA) is a highly prevalent degenerative joint disease, and the knee is the most commonly affected joint. Biomechanical factors, particularly forces exerted during walking, are often measured in modern studies of knee joint…

Knee osteoarthritis (OA) is one of the most widespread and burdensome health problems [1-4]. Total knee replacement (TKR) may be offered as treatment for end-stage knee OA. Nevertheless, TKR is an invasive procedure involving prosthesis…

Image and Video Processing · Electrical Eng. & Systems 2025-11-20 Zhisen Hu , Dominic Cullen , David S. Johnson , Aleksei Tiulpin , Timothy F. Cootes , Claudia Lindner
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