[HTML][HTML] Current development and prospects of deep learning in spine image analysis: a literature review
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 …
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
Scoliosis is among the most prevalent diseases affecting teenagers. However, traditional
scoliosis screening methods often resort to physical examination or radiographic imaging …
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 …
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
Purpose Automatic detection of very small and nonmass abnormalities from mammogram
images has remained challenging. In clinical practice for each patient, radiologists …
images has remained challenging. In clinical practice for each patient, radiologists …
Symmetric perception and ordinal regression for detecting scoliosis natural image
Scoliosis is one of the most common diseases in adolescents. Traditional screening
methods for the scoliosis usually use radiographic examination, which requires certified …
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 …
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 …
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 …
(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 …
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 …
growth process. It usually occurs in children aged 3–7 years old. After a detailed analysis of …