Opportunistic screening techniques for analysis of CT scans
Abstract Purpose of Review Opportunistic screening is a combination of techniques to
identify subjects of high risk for osteoporotic fracture using routine clinical CT scans …
identify subjects of high risk for osteoporotic fracture using routine clinical CT scans …
[HTML][HTML] Interpretable deep-learning approaches for osteoporosis risk screening and individualized feature analysis using large population-based data: Model …
Background Osteoporosis is one of the diseases that requires early screening and detection
for its management. Common clinical tools and machine-learning (ML) models for screening …
for its management. Common clinical tools and machine-learning (ML) models for screening …
Interpretable vertebral fracture quantification via anchor-free landmarks localization
A Zakharov, M Pisov, A Bukharaev, A Petraikin… - Medical Image …, 2023 - Elsevier
Vertebral body compression fractures are early signs of osteoporosis. Though these
fractures are visible on Computed Tomography (CT) images, they are frequently missed by …
fractures are visible on Computed Tomography (CT) images, they are frequently missed by …
Towards improved identification of vertebral fractures in routine computed tomography (CT) scans: Development and external validation of a machine learning …
J Nicolaes, MK Skjødt, S Raeymaeckers… - Journal of Bone and …, 2023 - academic.oup.com
Vertebral fractures (VFs) are the hallmark of osteoporosis, being one of the most frequent
types of fragility fracture and an early sign of the disease. They are associated with …
types of fragility fracture and an early sign of the disease. They are associated with …
Deep learning classification of spinal osteoporotic compression fractures on radiographs using an adaptation of the genant semiquantitative criteria
Rationale and Objectives Osteoporosis affects 9% of individuals over 50 in the United States
and 200 million women globally. Spinal osteoporotic compression fractures (OCFs), an …
and 200 million women globally. Spinal osteoporotic compression fractures (OCFs), an …
Generalizability of deep learning classification of spinal osteoporotic compression fractures on radiographs using an adaptation of the modified-2 algorithm-based …
Rationale and Objectives Spinal osteoporotic compression fractures (OCFs) can be an early
biomarker for osteoporosis but are often subtle, incidental, and underreported. To ensure …
biomarker for osteoporosis but are often subtle, incidental, and underreported. To ensure …
[HTML][HTML] AI-based automated detection and stability analysis of traumatic vertebral body fractures on computed tomography
Purpose We developed and tested a neural network for automated detection and stability
analysis of vertebral body fractures on computed tomography (CT). Materials and Methods …
analysis of vertebral body fractures on computed tomography (CT). Materials and Methods …
External validation of a convolutional neural network algorithm for opportunistically detecting vertebral fractures in routine CT scans
J Nicolaes, Y Liu, Y Zhao, P Huang, L Wang… - Osteoporosis …, 2024 - Springer
Abstract Summary The Convolutional Neural Network algorithm achieved a sensitivity of
94% and specificity of 93% in identifying scans with vertebral fractures (VFs). The external …
94% and specificity of 93% in identifying scans with vertebral fractures (VFs). The external …
Counterfactual explanations for medical image classification and regression using diffusion autoencoder
Counterfactual explanations (CEs) aim to enhance the interpretability of machine learning
models by illustrating how alterations in input features would affect the resulting predictions …
models by illustrating how alterations in input features would affect the resulting predictions …
Semantic latent space regression of diffusion autoencoders for vertebral fracture grading
Vertebral fractures are a consequence of osteoporosis, with significant health implications
for affected patients. Unfortunately, grading their severity using CT exams is hard and …
for affected patients. Unfortunately, grading their severity using CT exams is hard and …