A review on automated algorithms used for osteoporosis diagnosis

G Amiya, K Ramaraj, PR Murugan… - Inventive Systems and …, 2022 - Springer
Osteoporosis is a major public health issue requiring significant resources to address the
immediate and long-term consequences of fractures. Only a few research studies have been …

Application of Artificial Intelligence Methods on Osteoporosis Classification with Radiographs—A Systematic Review

RW Liu, W Ong, A Makmur, N Kumar, XZ Low… - Bioengineering, 2024 - mdpi.com
Simple Summary Osteoporosis is a major global health problem with substantial economic
and psychosocial repercussions. Underdiagnosis of osteoporosis is prevalent. The dual …

Computer-Aided Osteoporosis Diagnosis Using Transfer Learning with Enhanced Features from Stacked Deep Learning Modules

A Siddiqua, R Hasan, A Rahman, ASM Miah - arXiv preprint arXiv …, 2024 - arxiv.org
Knee osteoporosis weakens the bone tissue in the knee joint, increasing fracture risk. Early
detection through X-ray images enables timely intervention and improved patient outcomes …

Enhancement of hip X-ray with convolutional autoencoder for increasing prediction accuracy of bone mineral density

TP Nguyen, DS Chae, SH Choi, K Jeong, J Yoon - Bioengineering, 2023 - mdpi.com
It is very important to keep track of decreases in the bone mineral density (BMD) of elderly
people since it can be correlated with the risk of incidence of major osteoporotic fractures …

Femur bone volumetric estimation for osteoporosis classification based on deep learning with tuna jellyfish optimization using X-ray images

H TG, SP - Multiagent and Grid Systems, 2024 - journals.sagepub.com
Osteoporosis is a disorder, that leads to fractures and fatal problems in bones. It is believed
that more than 200 million individuals are affected globally. Furthermore, osteoporosis is …

Exploring the Impact of Noise and Image Quality on Deep Learning Performance in DXA Images

D Hussain, Y Hyeon Gu - Diagnostics, 2024 - mdpi.com
Background and Objective: Segmentation of the femur in Dual-Energy X-ray (DXA) images
poses challenges due to reduced contrast, noise, bone shape variations, and inconsistent X …

Deep learning for osteoporosis screening using an anteroposterior hip radiograph image

A Boonrod, P Piyaprapaphan, N Kittipongphat… - European Journal of …, 2024 - Springer
Purpose Osteoporosis is a common bone disorder characterized by decreased bone
mineral density (BMD) and increased bone fragility, which can lead to fractures and …

Evolution in fracture risk assessment: artificial versus augmented intelligence

D Hans, E Shevroja, WD Leslie - Osteoporosis International, 2021 - Springer
Artificial intelligence in medicine comes with enormous promise but also potential pitfalls.
Liu Y et al.[1] highlight the need for a cautious and critical approach to evaluate machine …

Chronological-hybrid optimization enabled deep learning for boundary segmentation and osteoporosis classification using femur bone

K Dhanaji Kale, B Ainapure, S Nagulapati… - The Imaging Science …, 2024 - Taylor & Francis
This paper devises a technique for diagnosing and classifying osteoporosis using the femur
bone's X-ray images. The devised approach uses the following phases: image acquisition …

Comparison of L1 CT-attenuation and cortical thickness in predicting osteoporosis by opportunistic CT

Q Yao, J Liu, K Yuan, X Qiu, J Wang… - Journal of X-Ray …, 2022 - content.iospress.com
BACKGROUND: In vertebrae, the amount of cortical bone has been estimated at 30–60%,
but 45–75% of axial load on a vertebral body is borne by cortical bone. OBJECTIVE: To …