Latest AI and machine learning research in radiology for healthcare professionals.
The axial field of view (FOV) is a key factor that affects the quality of PET images. Due to hardwar...
RATIONALE AND OBJECTIVES: Fluid-attenuated inversion recovery (FLAIR) imaging is playing an increasi...
BACKGROUND AND OBJECTIVE: Precisely segmenting brain tumors using multimodal Magnetic Resonance Imag...
PURPOSE: This study aimed to assess and externally validate the performance of a deep learning (DL) ...
We aimed to evaluate the image quality of brain computed tomography (CT) images reconstructed using ...
BACKGROUND: F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is valuable for determini...
Quantifying uncertainty of predictions has been identified as one way to develop more trustworthy ar...
The long acquisition time has limited the accessibility of magnetic resonance imaging (MRI) because ...
PURPOSE: Neuromelanin-sensitive MRI (NM-MRI) has proven useful for diagnosing Parkinson's disease (P...
OBJECTIVE: Scanning protocols for lung ultrasound often include 8 or more lung zones, which may limi...
Subacromial motion metrics can be extracted from dynamic shoulder ultrasonography, which is useful f...
Magnetic resonance (MR) and computer tomography (CT) images are two typical types of medical images ...
BACKGROUND: Segmentation of the Gross Tumor Volume (GTV) is a crucial step in the brachytherapy (BT)...
At present, MRI scans are typically performed inside fully enclosed radiofrequency (RF) shielding ro...
Motion artefacts caused by the patient's body movements affect magnetic resonance imaging (MRI) accu...
The preoperative differentiation of breast phyllodes tumors (PTs) from fibroadenomas (FAs) plays a c...
Deep learning (DL) can fail when there are data mismatches between training and testing data distrib...
This paper presents methods of decomposition of musculoskeletal structures from radiographs into mul...
BACKGROUND: Diagnostic performance of placenta accreta spectrum (PAS) by prenatal MRI is unsatisfact...
Computer-aided diagnosis (CAD) systems for breast ultrasound interpretation have been primarily eva...
OBJECTIVE: Little information is available about deep learning methods used in ultrasound images of ...