Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans
Osteoporotic vertebral fractures (OVFs) are prevalent in older adults and are associated with
substantial personal suffering and socio-economic burden. Early diagnosis and treatment of …
substantial personal suffering and socio-economic burden. Early diagnosis and treatment of …
Xray-Net: Self-supervised pixel stretching approach to improve low-contrast medical imaging
Medical imaging is crucial for monitoring the progression of a diagnosis. However, poor-
quality images, particularly radiographs which are commonly used for their affordability, can …
quality images, particularly radiographs which are commonly used for their affordability, can …
[PDF][PDF] A dual-selective channel attention network for osteoporosis prediction in computed tomography images of lumbar spine
L Xue, Y Hou, S Wang, C Luo, ZY **a… - … Transactions on AI …, 2022 - library.acadlore.com
Osteoporosis is a common systemic bone disease with insidious onset and low treatment
efficiency. Once it occurs, it will increase bone fragility and lead to fractures. Computed …
efficiency. Once it occurs, it will increase bone fragility and lead to fractures. Computed …
Comparison of the Classification Results Accuracy for CT Soft Tissue and Bone Reconstructions in Detecting the Porosity of a Spongy Tissue
The aim of the study was to compare the accuracy of the classification pertaining to the
results of two types of soft tissue and bone reconstructions of the spinal CT in detecting the …
results of two types of soft tissue and bone reconstructions of the spinal CT in detecting the …
Low-contrast X-ray enhancement using a fuzzy gamma reasoning model
X-ray images play an important role in providing physicians with satisfactory information
correlated to fractures and diseases; unfortunately, most of these images suffer from low …
correlated to fractures and diseases; unfortunately, most of these images suffer from low …
Fuzzy reasoning model to improve face illumination invariance
Enhancing facial images captured under different lighting conditions is an important
challenge and a crucial component in the automatic face recognition systems. This work …
challenge and a crucial component in the automatic face recognition systems. This work …
Improved approach based on fuzzy rough set and sine-cosine algorithm: A case study on prediction of osteoporosis
In recent years, osteoporosis prediction has been paid more attention among healthcare
experts and the public. It is a silent disease that causes many fractures and complications …
experts and the public. It is a silent disease that causes many fractures and complications …
A deep-learning system for automatic detection of osteoporotic vertebral compression fractures at thoracolumbar junction using low-dose computed tomography …
X Niu, W Yan, X Li, Y Huang, J Chen, G Mu, J Li, X Jiao… - 2022 - researchsquare.com
Purpose: To develop a deep-learning system for automatic osteoporotic vertebral
compression fractures (OVCF) detection at the thoracolumbar junction using low-dose …
compression fractures (OVCF) detection at the thoracolumbar junction using low-dose …
CBIR-DSN: integrating clustering and retrieval platforms for disk space narrowing degradation assessment
A system that is capable of assessing spine osteoarthritis conditions which affect a
significant portion of the elderly population could be very valuable to radiologists …
significant portion of the elderly population could be very valuable to radiologists …
Non-Invasive Machine Learning-Based Classification of Bone Health
SP Bhise, R Havaldar - Traitement du Signal, 2022 - search.proquest.com
Osteoporosis is a disease that affects both men and women of all ages but is more
commonly seen in women. A measure called Bone Mineral Density (BMD) is often used to …
commonly seen in women. A measure called Bone Mineral Density (BMD) is often used to …