Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
Deep learning-based medical images segmentation of musculoskeletal anatomical structures: a survey of bottlenecks and strategies
By leveraging the recent development of artificial intelligence algorithms, several medical
sectors have benefited from using automatic segmentation tools from bioimaging to segment …
sectors have benefited from using automatic segmentation tools from bioimaging to segment …
Automated knee MR images segmentation of anterior cruciate ligament tears
The anterior cruciate ligament (ACL) is one of the main stabilizer parts of the knee. ACL
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …
Diabetic retinopathy detection through convolutional neural networks with synaptic metaplasticity
Background and objectives: Diabetic retinopathy is a type of diabetes that causes vascular
changes that can lead to blindness. The ravages of this disease cannot be reversed, so …
changes that can lead to blindness. The ravages of this disease cannot be reversed, so …
A review of advances in image-guided orthopedic surgery
Orthopedic surgery remains technically demanding due to the complex anatomical
structures and cumbersome surgical procedures. The introduction of image-guided …
structures and cumbersome surgical procedures. The introduction of image-guided …
Automatic grading assessments for knee MRI cartilage defects via self-ensembling semi-supervised learning with dual-consistency
Knee cartilage defects caused by osteoarthritis are major musculoskeletal disorders, leading
to joint necrosis or even disability if not intervened at early stage. Deep learning has …
to joint necrosis or even disability if not intervened at early stage. Deep learning has …
Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage
Simulation studies, such as finite element (FE) modeling, provide insight into knee joint
mechanics without patient involvement. Generic FE models mimic the biomechanical …
mechanics without patient involvement. Generic FE models mimic the biomechanical …
Patch-shuffle-based semi-supervised segmentation of bone computed tomography via consistent learning
Bone segmentation is essential in Computed Tomography (CT) imaging, which assists
physicians in diagnosing, planning operations, and evaluating treatment effects. A recent …
physicians in diagnosing, planning operations, and evaluating treatment effects. A recent …
[HTML][HTML] Accurate volume alignment of arbitrarily oriented tibiae based on a mutual attention network for osteoarthritis analysis
Damage to cartilage is an important indicator of osteoarthritis progression, but manual
extraction of cartilage morphology is time-consuming and prone to error. To address this, we …
extraction of cartilage morphology is time-consuming and prone to error. To address this, we …
Automatic tracking of healthy joint kinematics from stereo-radiography sequences
Kinematic tracking of healthy joints in radiography sequences is frequently performed by
maximizing similarities between computed perspective projections of 3D computer models …
maximizing similarities between computed perspective projections of 3D computer models …