[HTML][HTML] Current development and prospects of deep learning in spine image analysis: a literature review

B Qu, J Cao, C Qian, J Wu, J Lin, L Wang… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
Methods A systematic literature search was conducted in the PubMed and Web of Science
databases using the keywords “deep learning” and “spine”. Date ranges used to conduct the …

[HTML][HTML] Mgscoliosis: Multi-grained scoliosis detection with joint ordinal regression from natural image

X Zhu, R Chen, Z Shao, M Zhang, Y Dai… - Alexandria Engineering …, 2025 - Elsevier
Scoliosis is among the most prevalent diseases affecting teenagers. However, traditional
scoliosis screening methods often resort to physical examination or radiographic imaging …

Development of a CapsNet and Fuzzy Logic decision support system for diagnosing the Scoliosis and planning treatments via Schroth method

S Goral, U Kose - IEEE Access, 2022 - ieeexplore.ieee.org
Scoliosis is a disease caused by the spine curving. It is treatable but physiotherapists may
do different measurements for curvature angles. That'sa problem affecting the treatment …

Feature fusion Siamese network for breast cancer detection comparing current and prior mammograms

J Bai, A **, T Wang, C Yang, S Nabavi - Medical Physics, 2022 - Wiley Online Library
Purpose Automatic detection of very small and nonmass abnormalities from mammogram
images has remained challenging. In clinical practice for each patient, radiologists …

Symmetric perception and ordinal regression for detecting scoliosis natural image

X Zhu, R Chen, X Guo, Z Shao, Y Dai, M Zhang… - Applied …, 2025 - Springer
Scoliosis is one of the most common diseases in adolescents. Traditional screening
methods for the scoliosis usually use radiographic examination, which requires certified …

Artificial intelligence for assessing the severity of microtia via deep convolutional neural networks

D Wang, X Chen, Y Wu, H Tang, P Deng - Frontiers in Surgery, 2022 - frontiersin.org
Background Microtia is a congenital abnormality varying from slightly structural
abnormalities to the complete absence of the external ear. However, there is no gold …

Automatic segmentation of spine x‐ray images based on multiscale feature enhancement network

W Du, Z Liu, H Fei, J Yu, X Duan, W Liao, L Ji - Medical Physics, 2024 - Wiley Online Library
Background Automatic segmentation of vertebrae in spinal x‐ray images is crucial for
clinical diagnosis, case analysis, and surgical planning of spinal lesions. Purpose However …

Practical Analysis of Digital Technology in an Electronic Education Platform in PE Training

Q Luo - International Journal of Emerging Technologies in …, 2023 - learntechlib.org
To improve the practical effect of digital technology (DT) in electronic education platform
(ECP) in sports training, this study proposes using OpenPose as the main method of posture …

A Convolutional Neural Network for Automated Detection of Cervical Ossification of the Posterior Longitudinal Ligament using Magnetic Resonance Imaging

Z Qu, B Deng, W Sun, R Yang, H Feng - Clinical Spine Surgery, 2024 - journals.lww.com
Study Design: Retrospective cohort study. Objective: We aimed to develop and validate a
convolutional neural network (CNN) model to distinguish between cervical ossification of …

[Retracted] Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm

C Huang - Advances in Multimedia, 2021 - Wiley Online Library
Scoliosis is mainly caused by the spinal column deviating from its centerline during the
growth process. It usually occurs in children aged 3–7 years old. After a detailed analysis of …