bmjopensem.bmj8d
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 ...
IEEE26d
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 ...
Frontiers1mon
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
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 Medicine4mon
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 ...