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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 (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

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

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

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 (KOA) is a highly prevalent chronic musculoskeletal condition with no currently available treatment. The manifestation of KOA is heterogeneous and prediction of its progression is challenging. Current literature suggests…

Image and Video Processing · Electrical Eng. & Systems 2023-07-04 Egor Panfilov , Simo Saarakkala , Miika T. Nieminen , Aleksei Tiulpin

Osteoarthritis (OA) is the most prevalent chronic joint disease worldwide, where knee OA takes more than 80% of commonly affected joints. Knee OA is not a curable disease yet, and it affects large columns of patients, making it costly to…

Artificial Intelligence · Computer Science 2022-12-23 Soheyla Amirian , Husam Ghazaleh , Mehdi Assefi , Hilal Maradit Kremers , Hamid R. Arabnia , Johannes F. Plate , Ahmad P. Tafti

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 (KOA) is a prevalent musculoskeletal disorder that severely impacts mobility and quality of life, particularly among older adults. Its diagnosis often relies on subjective assessments using the Kellgren-Lawrence (KL)…

Image and Video Processing · Electrical Eng. & Systems 2025-01-17 Zhe Wang , Aladine Chetouani , Yung Hsin Chen , Yuhua Ru , Fang Chen , Mohamed Jarraya , Fabian Bauer , Liping Zhang , Didier Hans , Rachid Jennane

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

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

Accurate prediction of knee osteoarthritis (KOA) progression from structural MRI has a potential to enhance disease understanding and support clinical trials. Prior art focused on manually designed imaging biomarkers, which may not fully…

Image and Video Processing · Electrical Eng. & Systems 2024-08-07 Egor Panfilov , Simo Saarakkala , Miika T. Nieminen , Aleksei Tiulpin

The assessment of knee osteoarthritis (KOA) severity on knee X-rays is a central criteria for the use of total knee arthroplasty. However, this assessment suffers from imprecise standards and a remarkably high inter-reader variability. An…

Knee-Joint Osteoarthritis (KOA) is a prevalent cause of global disability and is inherently complex to diagnose due to its subtle radiographic markers and individualized progression. One promising classification avenue involves applying…

Image and Video Processing · Electrical Eng. & Systems 2023-11-13 Fabi Prezja , Leevi Annala , Sampsa Kiiskinen , Suvi Lahtinen , Timo Ojala

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 a widespread condition that can cause chronic pain and stiffness in the knee joint. Early detection and diagnosis are crucial for successful clinical intervention and management to prevent severe complications,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Aymen Sekhri , Marouane Tliba , Mohamed Amine Kerkouri , Yassine Nasser , Aladine Chetouani , Alessandro Bruno , Rachid Jennane

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 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

Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the United States. When diagnosed at early stages, lifestyle interventions such as exercise and weight loss can slow OA progression, but at later stages, only an invasive…

Image and Video Processing · Electrical Eng. & Systems 2020-02-26 Aniket A. Tolpadi , Jinhee J. Lee , Valentina Pedoia , Sharmila Majumdar

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
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