Automated segmentation of knee articular cartilage: Joint deep and hand-crafted learning-based framework using diffeomorphic mapping

Ebrahimkhani, Somayeh; Dharmaratne, Anuja; Jaward, Mohamed Hisham; Wang, Yuanyuan; Cicuttini, Flavia Maria

doi:10.1016/j.neucom.2021.09.048

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…4) Belly Roll Test. Subjects lie flat on their backs with the soles of their feet parallel to the floor, knees bent at approximately 90°, hands on either side of the body, fingertips of both hands need to touch the knee joints as they rise and return to the starting position, completing as many repetitions as possible to record the subject's final score [28] . 5) 10×5m Tumbling Run.…”

Section: Test Methods and Processes 1221 Human Morphology Physical Fi...mentioning

confidence: 99%

Tracking study of physical fitness evaluation indicators for children and adolescents aged 12-15 in China under the background of "integration of physical education"

2023

IJNDE

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It is a consensus among scholars at home and abroad that a good level of physical fitness has a positive impact on adolescents' physiological and psychological health. Adolescent physical health indicators are not only related to the risk of cardiovascular diseases, but also play an important role in improving adolescents' academic performance. Adolescent physical health indicators are not only related to the risk of cardiovascular diseases, but also play an important role in improving adolescents' academic performance. Identifying changes in adolescent physical health indicators is not only conducive to Identifying changes in adolescent physical health indicators is not only conducive to understanding their health status, physiological characteristics and individual differences, but also can provide a basis for adolescent talent identification and triage. Changes in the physical fitness of adolescents continue to improve with their age, and there are significant gender differences in the changes. Changes in the physical fitness of adolescents continue to improve with their age, and there are significant gender differences in the changes. In the age group of 12-13 years, males show a more significant rate of development in speed, aerobic and strength than females . This study is to track the physical fitness indicators of 12-15 year old adolescents in China, and to evaluate the stability of the changes in the indicators at different testing nodes of adolescents. This study is to track the physical fitness indicators of 12-15 year old adolescents in China, and to evaluate the stability of the changes in the indicators at different testing nodes of adolescents, with a view to providing reference for the improvement of the evaluation standard of physical fitness of adolescents in China, the reform of school physical education curriculum, and the establishment of students' physical fitness and health records. The following is a summary of the findings of the study.

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Section: Test Methods and Processes 1221 Human Morphology Physical Fi...mentioning

confidence: 99%

Tracking study of physical fitness evaluation indicators for children and adolescents aged 12-15 in China under the background of "integration of physical education"

2023

IJNDE

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“…In addition to traditional methods such as SSM, the combination of machine learning and DL has also been explored by some researchers. Ebrahimkhani et al (2022) proposed JD-HCI, a two-stage pixel-wise classification model to segment knee articular cartilage tissue (ACT) in MRI. This model uses a 3D U-Net for the localization of the ACT region and then uses a hand-crafted machine learning method for uncertain boundaries.…”

Section: Image Segmentationmentioning

confidence: 99%

A review of advances in image-guided orthopedic surgery

Fan¹,

Zhu²,

Tu³

et al. 2023

Phys. Med. Biol.

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Orthopedic surgery remains technically demanding due to the complex anatomical structures and cumbersome surgical procedures. The introduction of image-guided orthopedic surgery (IGOS) has significantly decreased the surgical risk and improved the operation results. This review focuses on the application of recent advances in Artificial Intelligence (AI), Deep Learning (DL), Augmented Reality (AR) and Robotics in image-guided spine surgery, joint arthroplasty, fracture reduction and bone tumor resection. For the pre-operative stage, key technologies of AI and deep learning based medical image segmentation, 3D reconstruction and surgical planning procedures are systematically reviewed. For the intra-operative stage, the development of novel image registration, surgical tool calibration and real-time navigation are reviewed. Furthermore, the combination of the surgical navigation system with augmented reality (AR) and robotic technology is also discussed. Finally, the current issues and prospects of the IGOS system are discussed, with the goal of establishing a reference and providing guidance for surgeons, engineers, and researchers involved in the research and development of this area.

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3D geometric analysis of the knee with magnetic resonance imaging

Yang,

Din

2024

Cartilage Tissue and Knee Joint Biomechanics

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Automated segmentation of knee articular cartilage: Joint deep and hand-crafted learning-based framework using diffeomorphic mapping

Cited by 8 publications

References 41 publications

Tracking study of physical fitness evaluation indicators for children and adolescents aged 12-15 in China under the background of "integration of physical education"

Tracking study of physical fitness evaluation indicators for children and adolescents aged 12-15 in China under the background of "integration of physical education"

A review of advances in image-guided orthopedic surgery

3D geometric analysis of the knee with magnetic resonance imaging

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