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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 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

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

Vertebral landmark localization is a crucial step for variant spine-related clinical applications, which requires detecting the corner points of 17 vertebrae. However, the neighbor landmarks often disturb each other for the homogeneous…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Zhiwei Wang , Jinxin Lv , Yunqiao Yang , Yuanhuai Liang , Yi Lin , Qiang Li , Xin Li , Xin Yang

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

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

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

Scoliosis is a condition defined by an abnormal spinal curvature. For diagnosis and treatment planning of scoliosis, spinal curvature can be estimated using Cobb angles. We propose an automated method for the estimation of Cobb angles from…

Image and Video Processing · Electrical Eng. & Systems 2019-12-12 Florian Dubost , Benjamin Collery , Antonin Renaudier , Axel Roc , Nicolas Posocco , Gerda Bortsova , Wiro Niessen , Marleen de Bruijne

Scoliosis is a spinal curvature disorder that is difficult to detect early and can compress the chest cavity, impacting respiratory function and cardiac health. Especially for adolescents, delayed detection and treatment result in worsening…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Haiqing Li , Yuzhi Guo , Feng Jiang , Qifeng Zhou , Hehuan Ma , Junzhou Huang

The scoliosis progression in adolescents requires close monitoring to timely take treatment measures. Ultrasound imaging is a radiation-free and low-cost alternative in scoliosis assessment to X-rays, which are typically used in clinical…

Image and Video Processing · Electrical Eng. & Systems 2021-09-14 Maria Victorova , Michael Ka-Shing Lee , David Navarro-Alarcon , Yongping Zheng

Scoliosis is a three-dimensional deformity of the spine, most often diagnosed in childhood. It affects 2-3% of the population, which is approximately seven million people in North America. Currently, the reference standard for assessing…

Image and Video Processing · Electrical Eng. & Systems 2022-11-28 Chaojun Chen , Khashayar Namdar , Yujie Wu , Shahob Hosseinpour , Manohar Shroff , Andrea S. Doria , Farzad Khalvati

Correct evaluation and treatment of Scoliosis require accurate estimation of spinal curvature. Current gold standard is to manually estimate Cobb Angles in spinal X-ray images which is time consuming and has high inter-rater variability. We…

Computer Vision and Pattern Recognition · Computer Science 2019-11-01 Bidur Khanal , Lavsen Dahal , Prashant Adhikari , Bishesh Khanal

In biomechanical modeling, the representation of ligament attachments is crucial for a realistic simulation of the forces acting between the vertebrae. These forces are typically modeled as vectors connecting ligament landmarks on adjacent…

Computer Vision and Pattern Recognition · Computer Science 2026-01-26 Lara Blomenkamp , Ivanna Kramer , Sabine Bauer , Theresa Schöche

Scoliosis is traditionally assessed based solely on 2D lateral deviations, but recent studies have also revealed the importance of other imaging planes in understanding the deformation of the spine. Consequently, extracting the spinal…

Image and Video Processing · Electrical Eng. & Systems 2024-12-03 Emmanuelle Bourigault , Amir Jamaludin , Andrew Zisserman

Multiple sclerosis is an inflammatory autoimmune demyelinating disease that is characterized by lesions in the central nervous system. Typically, magnetic resonance imaging (MRI) is used for tracking disease progression. Automatic image…

Image and Video Processing · Electrical Eng. & Systems 2020-08-06 Nils Gessert , Julia Krüger , Roland Opfer , Ann-Christin Ostwaldt , Praveena Manogaran , Hagen H. Kitzler , Sven Schippling , Alexander Schlaefer

Scoliosis, a prevalent condition characterized by abnormal spinal curvature leading to deformity, requires precise assessment methods for effective diagnosis and management. The Cobb angle is a widely used scoliosis quantification method…

Semantic segmentation consists of predicting a semantic label for each image pixel. While existing deep learning approaches achieve high accuracy, they often overlook the ordinal relationships between classes, which can provide critical…

Computer Vision and Pattern Recognition · Computer Science 2025-02-06 Ricardo P. M. Cruz , Rafael Cristino , Jaime S. Cardoso

Topological consistency plays a crucial role in the task of boundary segmentation for reticular images, such as cell membrane segmentation in neuron electron microscopic images, grain boundary segmentation in material microscopic images and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Chuni Liu , Boyuan Ma , Xiaojuan Ban , Yujie Xie , Hao Wang , Weihua Xue , Jingchao Ma , Ke Xu

3D ultrasound imaging shows great promise for scoliosis diagnosis thanks to its low-costing, radiation-free and real-time characteristics. The key to accessing scoliosis by ultrasound imaging is to accurately segment the bone area and…

Image and Video Processing · Electrical Eng. & Systems 2020-10-09 Zixun Huang , Li-Wen Wang , Frank H. F. Leung , Sunetra Banerjee , De Yang , Timothy Lee , Juan Lyu , Sai Ho Ling , Yong-Ping Zheng

Multiple Sclerosis (MS) is a chronic autoimmune disease that can significantly reduce the quality of life of a patient. Existing treatment options can only help slow down the progression of the disease. Therefore, early detection and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Abdul Basit , Ashir Rashid , Muhammad Abdullah Hanif , Muhammad Shafique
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