A review of the methods on cobb angle measurements for spinal curvature
C **, 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 …
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 …
deep learning applications within neuroradiology. The improvement in performance of these …
Localization and edge-based segmentation of lumbar spine vertebrae to identify the deformities using deep learning models
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 …
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
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 …
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
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 …
Classification of spinal curvature types using radiography images: deep learning versus classical methods
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 …
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
Importance Adolescent idiopathic scoliosis (AIS) is the most common pediatric spinal
disorder. Routine physical examinations by trained personnel are critical to diagnose …
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
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 …
just before puberty. Untreated Scoliosis may cause long-term sequelae. Therefore, accurate …
Seg4reg+: Consistency learning between spine segmentation and cobb angle regression
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 …
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
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 …
assessment from spinal radiographs, which deals with the drawback of manual …