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Related papers: Leveraging Gait Patterns as Biomarkers: An attenti…

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Scoliosis presents significant diagnostic challenges, particularly in adolescents, where early detection is crucial for effective treatment. Traditional diagnostic and follow-up methods, which rely on physical examinations and radiography,…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Zirui Zhou , Junhao Liang , Zizhao Peng , Chao Fan , Fengwei An , Shiqi Yu

Early-stage scoliosis is often difficult to detect, particularly in adolescents, where delayed diagnosis can lead to serious health issues. Traditional X-ray-based methods carry radiation risks and rely heavily on clinical expertise,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Haiqing Li , Yuzhi Guo , Feng Jiang , Thao M. Dang , Hehuan Ma , Qifeng Zhou , Jean Gao , Junzhou Huang

Adolescent Idiopathic Scoliosis (AIS) is a prevalent spinal deformity whose progression can be mitigated through early detection. Conventional screening methods are often subjective, difficult to scale, and reliant on specialized clinical…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Dong Chen , Zizhuang Wei , Jialei Xu , Xinyang Sun , Zonglin He , Meiru An , Huili Peng , Yong Hu , Kenneth MC Cheung

Scoliosis is a sideways curvature of the spine that most often is diagnosed among young teenagers. It dramatically affects the quality of life, which can cause complications from heart and lung injuries in severe cases. The current gold…

Image and Video Processing · Electrical Eng. & Systems 2022-11-01 Yen Hoang Nguyen

Scoliosis is a three-dimensional spinal deformity, which may lead to abnormal morphologies, such as thoracic deformity, and pelvic tilt. Severe patients may suffer from nerve damage and urinary abnormalities. At present, the number of…

Image and Video Processing · Electrical Eng. & Systems 2024-09-24 Zhenlin Zhang , Lixin Pu , Ang Li , Jun Zhang , Xianjie Li , Jipeng Fan

Scoliosis is a congenital disease in which the spine is deformed from its normal shape. Measurement of scoliosis requires labeling and identification of vertebrae in the spine. Spine radiographs are the most cost-effective and accessible…

Image and Video Processing · Electrical Eng. & Systems 2020-04-16 Abdullah-Al-Zubaer Imran , Chao Huang , Hui Tang , Wei Fan , Kenneth M. C. Cheung , Michael To , Zhen Qian , Demetri Terzopoulos

Several pathologies can alter the way people walk, i.e. their gait. Gait analysis can therefore be used to detect impairments and help diagnose illnesses and assess patient recovery. Using vision-based systems, diagnoses could be done at…

Computer Vision and Pattern Recognition · Computer Science 2021-10-07 Pedro Albuquerque , Joao Machado , Tanmay Tulsidas Verlekar , Luis Ducla Soares , Paulo Lobato Correia

Multi-instance learning (MIL) is widely used in the computer-aided interpretation of pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise annotations. Often, this approach directly applies "natural image…

Frailty is a condition in aging medicine characterized by diminished physiological reserve and increased vulnerability to stressors. However, frailty assessment remains subjective, heterogeneous, and difficult to scale in clinical practice.…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Laura McDaniel , Basudha Pal , Crystal Szczesny , Yuxiang Guo , Zhaoyang Wang , Ryan Roemmich , Peter Abadir , Rama Chellappa

Scoliosis is one of the most common diseases in adolescents. Traditional screening methods for the scoliosis usually use radiographic examination, which requires certified experts with medical instruments and brings the radiation risk.…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Xiaojia Zhu , Rui Chen , Xiaoqi Guo , Zhiwen Shao , Yuhu Dai , Ming Zhang , Chuandong Lang

Depression, a highly prevalent mental illness, affects over 280 million individuals worldwide. Early detection and timely intervention are crucial for promoting remission, preventing relapse, and alleviating the emotional and financial…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Min Ren , Muchan Tao , Xuecai Hu , Xiaotong Liu , Qiong Li , Yongzhen Huang

Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises in children. Accurate estimation of Cobb angles of the scoliosis is essential for clinicians to make diagnosis and treatment decisions. The Cobb angles are measured…

Image and Video Processing · Electrical Eng. & Systems 2020-01-13 Jingru Yi , Pengxiang Wu , Qiaoying Huang , Hui Qu , Dimitris N. Metaxas

Gait recognition is a promising biometric with unique properties for identifying individuals from a long distance by their walking patterns. In recent years, most gait recognition methods used the person's silhouette to extract the gait…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Torben Teepe , Johannes Gilg , Fabian Herzog , Stefan Hörmann , Gerhard Rigoll

Gait recognition, a long-distance biometric technology, has aroused intense interest recently. Currently, the two dominant gait recognition works are appearance-based and model-based, which extract features from silhouettes and skeletons,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Likai Wang , Ruize Han , Wei Feng

Aortic stenosis (AS) is a degenerative valve condition that causes substantial morbidity and mortality. This condition is under-diagnosed and under-treated. In clinical practice, AS is diagnosed with expert review of transthoracic…

Image and Video Processing · Electrical Eng. & Systems 2024-04-08 Zhe Huang , Benjamin S. Wessler , Michael C. Hughes

Gait recognition is a term commonly referred to as an identification problem within the Computer Science field. There are a variety of methods and models capable of identifying an individual based on their pattern of ambulatory locomotion.…

Machine Learning · Computer Science 2021-01-01 Ryan C. Saxe , Samantha Kappagoda , David K. A. Mordecai

As a unique biometric that can be perceived at a distance, gait has broad applications in person authentication, social security, and so on. Existing gait recognition methods suffer from changes in viewpoint and clothing and barely consider…

Computer Vision and Pattern Recognition · Computer Science 2023-10-03 Jingqi Li , Jiaqi Gao , Yuzhen Zhang , Hongming Shan , Junping Zhang

In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately. Instead, such systems should be aware of malicious procedures for unauthorized access attempts. Some works…

We introduce a novel approach for predicting the progression of adolescent idiopathic scoliosis from 3D spine models reconstructed from biplanar X-ray images. Recent progress in machine learning have allowed to improve classification and…

Machine Learning · Computer Science 2017-01-25 Samuel Kadoury , William Mandel , Marjolaine Roy-Beaudry , Marie-Lyne Nault , Stefan Parent

Frailty is a common and critical condition in elderly adults, which may lead to further deterioration of health. However, difficulties and complexities exist in traditional frailty assessments based on activity-related questionnaires. These…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Muhammad Zeeshan Arshad , Dawoon Jung , Mina Park , Hyungeun Shin , Jinwook Kim , Kyung-Ryoul Mun
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