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Related papers: Rethinking Knee Osteoarthritis Severity Grading: A…

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Knee osteoarthritis (KOA) is a degenerative joint disease that can lead to chronic pain, reduced mobility, and long-term disability. Automated severity grading from knee radiographs can support early assessment, but current methods heavily…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Chandravardhan Singh Raghaw , Anushka Parwal , Shahid Shafi Dar , Prajakta Darade , Nagendra Kumar

This study assesses whether self-supervised learning (SSL) improves knee osteoarthritis (OA) modeling for diagnosis and prognosis relative to ImageNet-pretrained initialization. We compared (i) image-only SSL pretrained on knee radiographs…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Haresh Rengaraj Rajamohan , Yuxuan Chen , Kyunghyun Cho , Cem M. Deniz

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

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

Progression of hip osteoarthritis (hip OA) leads to pain and disability, likely leading to surgical treatment such as hip arthroplasty at the terminal stage. The severity of hip OA is often classified using the Crowe and Kellgren-Lawrence…

Knee osteoarthritis (OA) is a major cause of disability worldwide and is still largely assessed using subjective radiographic grading, most commonly the Kellgren-Lawrence (KL) scale. Artificial intelligence (AI) and radiomics offer…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Abbas Alzubaidi , Ali Al-Bayaty

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

This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules acting as…

Image and Video Processing · Electrical Eng. & Systems 2019-08-26 Marc Górriz , Joseph Antony , Kevin McGuinness , Xavier Giró-i-Nieto , Noel E. O'Connor

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

This research paper explores the classification of knee osteoarthritis (OA) severity levels using advanced computer vision models and augmentation techniques. The study investigates the effectiveness of data preprocessing, including…

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

Automated Kellgren--Lawrence (KL) grading from knee radiographs is challenging due to subtle structural changes, long-range anatomical dependencies, and ambiguity near grade boundaries. We propose AGE-Net, a ConvNeXt-based framework that…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Xiaoyang Li , Runni Zhou , Xinghao Yan , Liehao Yan , Zhaochen Li , Chenjie Zhu , Rongrong Fu , Yuan Chai

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

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 is a degenerative joint disease that induces chronic pain and disability. Bone morphological analysis is a promising tool to understand the mechanical aspect of this disorder. This study proposes a 2D bone morphological…

Image and Video Processing · Electrical Eng. & Systems 2024-03-14 Yun Xin Teoh , Alice Othmani , Siew Li Goh , Juliana Usman , Khin Wee Lai

A fully automated knee MRI segmentation method to study osteoarthritis (OA) was developed using a novel hierarchical set of random forests (RF) classifiers to learn the appearance of cartilage regions and their boundaries. A neighborhood…

Computer Vision and Pattern Recognition · Computer Science 2019-03-12 Satyananda Kashyap , Honghai Zhang , Karan Rao , Milan Sonka

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

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 a widespread chronic condition that impairs mobility and diminishes quality of life. Despite the proven benefits of exercise therapy and patient education in managing the OA symptoms pain and functional…

Machine Learning · Computer Science 2024-10-17 M. Rafiei , S. Das , M. Bakhtiari , E. M. Roos , S. T. Skou , D. T. Grønne , J. Baumbach , L. Baumbach

Knee osteoarthritis (KOA) affects more than 600 million individuals globally and is associated with significant pain, functional impairment, and disability. While personalized multidisciplinary interventions have the potential to slow…

Artificial Intelligence · Computer Science 2025-11-26 Weizhi Liu , Xi Chen , Zekun Jiang , Liang Zhao , Kunyuan Jiang , Ruisi Tang , Li Wang , Mingke You , Hanyu Zhou , Hongyu Chen , Qiankun Xiong , Yong Nie , Kang Li , Jian Li