Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: In this study, we proposed an automated deep learning (DL) method for head and neck cancer ...
An artificial neural network with multiple hidden layers (known as a deep neural network, or DNN) wa...
Purpose To develop and evaluate a supportive algorithm using deep learning for detecting cerebral an...
OBJECTIVE: Segmentation of anatomical structures in ultrasound images requires vast radiological kno...
Recently, researchers have built new deep learning (DL) models using a single image modality to diag...
Coronary artery centerline extraction in cardiac CT angiography (CCTA) images is a prerequisite for ...
OBJECTIVE: Obstetricians mainly use ultrasound imaging for fetal biometric measurements. However, su...
BACKGROUND: Distinguishing between meningeal-based and intra-axial lesions by means of magnetic reso...
PURPOSE: Early diagnosis of triple-negative (TN) breast cancer is important due to its aggressive bi...
We propose a novel airway segmentation method in volumetric chest computed tomography (CT) and evalu...
Image guidance improves tissue sampling during biopsy by allowing the physician to visualize the tip...
Purpose To develop a deep learning (DL) algorithm to assess mammographic breast density. Materials a...
PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted f...
OBJECTIVES: With much hype about artificial intelligence (AI) rendering radiologists redundant, a si...
Enlarged perivascular spaces (PVS) are structural brain changes visible in MRI, are common in aging,...
PURPOSE: With the recent introduction of fully assisting scanner technologies by Siemens Healthineer...
PURPOSE: False positives in digital mammography screening lead to high recall rates, resulting in un...
Intra-arterial therapies are the standard of care for patients with hepatocellular carcinoma who can...
Accurate segmentation of pelvic organs is important for prostate radiation therapy. Modern radiation...
The manuscript describes an ultrasound image segmentation technique based on the fractional Brownian...
Purpose To develop a deep learning-based method for fully automated quantification of left ventricul...