[HTML][HTML] A review of the methods on cobb angle measurements for spinal curvature

C Jin, S Wang, G Yang, E Li, Z Liang - Sensors, 2022 - mdpi.com
Scoliosis is a common disease of the spine and requires regular monitoring due to its
progressive properties. A preferred indicator to assess scoliosis is by the Cobb angle, which …

Artificial intelligence and deep learning in neuroradiology: exploring the new frontier

H Kaka, E Zhang, N Khan - Canadian Association of …, 2021 - journals.sagepub.com
There have been many recently published studies exploring machine learning (ML) and
deep learning applications within neuroradiology. The improvement in performance of these …

[HTML][HTML] Localization and edge-based segmentation of lumbar spine vertebrae to identify the deformities using deep learning models

M Mushtaq, MU Akram, NS Alghamdi, J Fatima… - Sensors, 2022 - mdpi.com
The lumbar spine plays a very important role in our load transfer and mobility. Vertebrae
localization and segmentation are useful in detecting spinal deformities and fractures …

An efficient ensemble method for detecting spinal curvature type using deep transfer learning and soft voting classifier

P Tavana, M Akraminia, A Koochari… - Expert Systems with …, 2023 - Elsevier
Scoliosis is a spinal deformity that negatively affects the body's distribution of weight in
several ways. This deformity can be classified as C-shaped or S-shaped. These deformities …

[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] Classification of spinal curvature types using radiography images: deep learning versus classical methods

P Tavana, M Akraminia, A Koochari… - Artificial Intelligence …, 2023 - Springer
Scoliosis is a spinal abnormality that has two types of curves (C-shaped or S-shaped). The
vertebrae of the spine reach an equilibrium at different times, which makes it challenging to …

Deep learning model to classify and monitor idiopathic scoliosis in adolescents using a single smartphone photograph

T Zhang, C Zhu, Y Zhao, M Zhao, Z Wang… - JAMA Network …, 2023 - jamanetwork.com
Importance Adolescent idiopathic scoliosis (AIS) is the most common pediatric spinal
disorder. Routine physical examinations by trained personnel are critical to diagnose …

Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge

L Wang, C Xie, Y Lin, HY Zhou, K Chen, D Cheng… - Medical image …, 2021 - Elsevier
Scoliosis is a common medical condition, which occurs most often during the growth spurt
just before puberty. Untreated Scoliosis may cause long-term sequelae. Therefore, accurate …

Seg4reg+: Consistency learning between spine segmentation and cobb angle regression

Y Lin, L Liu, K Ma, Y Zheng - … , France, September 27–October 1, 2021 …, 2021 - Springer
Automated methods for Cobb angle estimation are of high demand for scoliosis assessment.
Existing methods typically calculate the Cobb angle from landmark estimation, or simply …

Automation of spine curve assessment in frontal radiographs using deep learning of vertebral-tilt vector

KC Kim, HS Yun, S Kim, JK Seo - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, an automated and visually explainable system is proposed for a scoliosis
assessment from spinal radiographs, which deals with the drawback of manual …