U-net and its variants for medical image segmentation: A review of theory and applications
U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …
tasks. These traits provide U-net with a high utility within the medical imaging community …
Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging
The 3D nature and soft-tissue contrast of MRI makes it an invaluable tool for osteoarthritis
research, by facilitating the elucidation of disease pathogenesis and progression. The recent …
research, by facilitating the elucidation of disease pathogenesis and progression. The recent …
Automatic MRI-based three-dimensional models of hip cartilage provide improved morphologic and biochemical analysis
Background The time-consuming and user-dependent postprocessing of biochemical
cartilage MRI has limited the use of delayed gadolinium-enhanced MRI of cartilage …
cartilage MRI has limited the use of delayed gadolinium-enhanced MRI of cartilage …
Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare
AI-powered segmentation of hip and knee bony anatomy has revolutionized orthopedics,
transforming pre-operative planning and post-operative assessment. Despite the …
transforming pre-operative planning and post-operative assessment. Despite the …
Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in …
Medical image segmentation is one of the most crucial issues in medical image processing
and analysis. In general, segmentation of the various structures in medical images is …
and analysis. In general, segmentation of the various structures in medical images is …
[HTML][HTML] MRI-based 3D models of the hip joint enables radiation-free computer-assisted planning of periacetabular osteotomy for treatment of hip dysplasia using deep …
Abstract Introduction Both Hip Dysplasia (DDH) and Femoro-acetabular-Im**ement (FAI)
are complex three-dimensional hip pathologies causing hip pain and osteoarthritis in young …
are complex three-dimensional hip pathologies causing hip pain and osteoarthritis in young …
LatentPCN: latent space-constrained point cloud network for reconstruction of 3D patient-specific bone surface models from calibrated biplanar X-ray images
Purpose Accurate three-dimensional (3D) models play crucial roles in computer assisted
planning and interventions. MR or CT images are frequently used to derive 3D models but …
planning and interventions. MR or CT images are frequently used to derive 3D models but …
Deep 3D convolutional networks to segment bones affected by severe osteoarthritis in CT scans for PSI-based knee surgical planning
Segmentation of bony structures in CT scans is a crucial step in knee arthroplasty based on
personalized surgical instruments (PSI). As a matter of fact, the success of the surgery …
personalized surgical instruments (PSI). As a matter of fact, the success of the surgery …
MRI‐and CT‐based metrics for the quantification of arthroscopic bone resections in femoroacetabular im**ement syndrome
The purpose of this in vitro study was to quantify the bone resected from the proximal femur
during hip arthroscopy using metrics generated from magnetic resonance imaging (MRI) …
during hip arthroscopy using metrics generated from magnetic resonance imaging (MRI) …
Better Rough than Scarce: Proximal Femur Fracture Segmentation with Rough Annotations
Proximal femoral fracture segmentation in computed tomography (CT) is essential in the
preoperative planning of orthopedic surgeons. Recently, numerous deep learning-based …
preoperative planning of orthopedic surgeons. Recently, numerous deep learning-based …