Artificial intelligence applications for osteoporosis classification using computed tomography
W Ong, RW Liu, A Makmur, XZ Low, WJ Sng, JH Tan… - Bioengineering, 2023 - mdpi.com
Osteoporosis, marked by low bone mineral density (BMD) and a high fracture risk, is a major
health issue. Recent progress in medical imaging, especially CT scans, offers new ways of …
health issue. Recent progress in medical imaging, especially CT scans, offers new ways of …
Deep learning in the radiologic diagnosis of osteoporosis: a literature review
Y He, J Lin, S Zhu, J Zhu, Z Xu - Journal of International …, 2024 - journals.sagepub.com
Objective Osteoporosis is a systemic bone disease characterized by low bone mass,
damaged bone microstructure, increased bone fragility, and susceptibility to fractures. With …
damaged bone microstructure, increased bone fragility, and susceptibility to fractures. With …
Deep multi-task learning for nephropathy diagnosis on immunofluorescence images
Abstract Background and Objective As an advanced technique, immunofluorescence (IF) is
one of the most widely-used medical image for nephropathy diagnosis, due to its ease of …
one of the most widely-used medical image for nephropathy diagnosis, due to its ease of …
[PDF][PDF] Multiclass Osteoporosis Detection: Enhancing Accuracy with Woodpecker-Optimized CNN-XGBoost
M D'Souza, D Nimma, KS Pokkuluri, JVN Ramesh… - researchgate.net
In the realm of medical diagnostics, accurately identifying osteoporosis through multiclass
classification poses a significant challenge due to the subtle variations in bone density and …
classification poses a significant challenge due to the subtle variations in bone density and …