A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images
Y Deng, L Wang, C Zhao, S Tang, X Cheng… - Medical & biological …, 2022 - Springer
Automatic CT segmentation of proximal femur has a great potential for use in orthopedic
diseases, especially in the imaging-based assessments of hip fracture risk. In this study, we …
diseases, especially in the imaging-based assessments of hip fracture risk. In this study, we …
A review of CT-based fracture risk assessment with finite element modeling and machine learning
Abstract Purpose of Review We reviewed advances over the past 3 years in assessment of
fracture risk based on CT scans, considering methods that use finite element models …
fracture risk based on CT scans, considering methods that use finite element models …
Three-dimensional feature-enhanced network for automatic femur segmentation
F Chen, J Liu, Z Zhao, M Zhu… - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
Automatic femur segmentation from computed tomography volume is a crucial but
challenging task for computer-aided diagnosis in orthopedic surgeries. The main obstacles …
challenging task for computer-aided diagnosis in orthopedic surgeries. The main obstacles …
A smart droplet detection approach with vision sensing technique for agricultural aviation application
Deep learning has been widely used in various sensor detection fields to realize intelligent
detection tasks. However, there are always restrictions on how these functions can be …
detection tasks. However, there are always restrictions on how these functions can be …
Digital chain for pelvic tumor resection with 3D-printed surgical cutting guides
V Biscaccianti, H Fragnaud, JY Hascoët… - … in Bioengineering and …, 2022 - frontiersin.org
Surgical cutting guides are 3D-printed customized tools that help surgeons during complex
surgeries. However, there does not seem to be any set methodology for designing these …
surgeries. However, there does not seem to be any set methodology for designing these …
Multiscale hybrid algorithm for pre-processing of ultrasound images
AE Ilesanmi, OP Idowu, U Chaumrattanakul… - … Signal Processing and …, 2021 - Elsevier
Background One of the diagnostic tools for breast cancer screening is the ultrasound.
Ultrasounds are characterized by low cost and non-invasive patterns. A major drawback of …
Ultrasounds are characterized by low cost and non-invasive patterns. A major drawback of …
[HTML][HTML] Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification
Morphological abnormalities of the femoroacetabular (hip) joint are among the most
common human musculoskeletal disorders and often develop asymptomatically at early …
common human musculoskeletal disorders and often develop asymptomatically at early …
Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total …
D Wu, X Zhi, X Liu, Y Zhang, W Chai - Journal of Orthopaedic Surgery and …, 2022 - Springer
Purpose Preoperative three-dimensional planning is important for total hip arthroplasty. To
simulate the placement of joint implants on computed tomography (CT), pelvis and femur …
simulate the placement of joint implants on computed tomography (CT), pelvis and femur …
Image-based finite-element modeling of the human femur
C Falcinelli, C Whyne - Computer Methods in Biomechanics and …, 2020 - Taylor & Francis
Fracture is considered a critical clinical endpoint in skeletal pathologies including
osteoporosis and bone metastases. However, current clinical guidelines are limited with …
osteoporosis and bone metastases. However, current clinical guidelines are limited with …
Automated segmentation of cortical and trabecular bone to generate finite element models for femoral bone mechanics
Finite element (FE) models based on quantitative computed tomography (CT) images are
better predictors of bone strength than conventional areal bone mineral density …
better predictors of bone strength than conventional areal bone mineral density …