bmjopensem.bmj6d
Risk factors associated with degenerative glenohumeral osteoarthritis
Objective Glenohumeral (GH) osteoarthritis (OA) is the third most common large joint disease, after hip and knee OA. This ...
Aclarion to Showcase Groundbreaking NOCISCAN Technology at the Selby Spine Conference
Dr. Sigurd Berven to Highlight NOCISCAN Capabilities, Combining MR Spectroscopy and Augmented Intelligence (AI) NOCISCAN as New Gold Standard in Identifying a Source of Discogenic Pain BROOMFIELD, ...
Frontiers28d
A machine learning-based radiomics approach for differentiating patellofemoral osteoarthritis from non-patellofemoral osteoarthritis using Q-Dixon MRI
Initial assessments were conducted using standard MRI sequences, including coronal T1-weighted images (T1WI) and transverse, sagittal, and coronal PDWI. A multi-echo Q-Dixon technique was employed for ...
IEEE1mon
An Attention-Based Residual U-Net for Tumour Segmentation Using Multi-Modal MRI Brain Images
A crucial stage in diagnosing and treating brain tumours is automatically segmenting the tumour area from brain MRI. It involves the precise delineation ... spatial contextual information from the ...
Medscape1mon
Imaging of the Cervical Spine and Its Role in Clinical Decision Making
The principal value of CT is its ability to show the osseous structures of the cervical spine and their ... For this reason, MRI is more commonly used as initial imaging study.
IEEE1mon
Modality-aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma from MRI Images
The teacher network integrates non-image clinicoradiologic characteristics with two 3D MRI modality images via two MRIclinical-fusion modules and a symmetric attention (SA) module, while the student ...
Johns Hopkins Medicine3mon
Magnetic Resonance Imaging (MRI) of the Heart
What is MRI of the heart? Magnetic resonance imaging (MRI) is a test that uses a large magnet, radio signals, and a computer to make images of organs and tissue in the body. In this case, the heart is ...