Latest AI and machine learning research in radiology for healthcare professionals.
In recent years, software-assisted imaging systems, such as computed tomography, have contributed to...
BACKGROUND: The aim of this study was to investigate the ability of a pixel-to-pixel generative adve...
Image contrast in multispectral optoacoustic tomography (MSOT) can be severely reduced by electrical...
In recent years, there were many suggestions regarding modifications of the well-known U-Net archite...
Dose delivery uncertainty is a major concern in proton therapy, adversely affecting the treatment pr...
Early ischemic lesion on non-contrast computed tomogram (NCCT) in acute stroke can be subtle and nee...
In candidates to robot-assisted radical prostatectomy (RARP) for locally advanced (iT3) prostate can...
PURPOSE: We developed a deep learning (DL) model for fast deformable image registration using 2-dime...
Deep learning has emerged as the leading method in machine learning, spawning a rapidly growing fiel...
The limited accessibility of medical specialists for Alzheimer's disease (AD) can make obtaining an ...
Medical images play an important role in medical diagnosis and treatment. Oncologists analyze images...
BACKGROUND: Magnetic resonance imaging (MRI)-guided biopsies are an accurate, but technically challe...
Background Computational models based on artificial intelligence (AI) are increasingly used to diagn...
PURPOSE: We sought to develop a computer-aided detection (CAD) system that optimally augments human ...
BACKGROUND: There has been increased development of robotic technologies for the accuracy of percuta...
Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most comm...
It is an essential task to construct brain templates and analyze their anatomical structures in neur...
BACKGROUND CONTEXT: Navigated and robotic pedicle screw placement systems have been developed to imp...
Coronary artery stenosis resistance (SR) is a key factor for noninvasive calculations of fractional ...
Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in...
In current clinical practice, thyroid nodules in children are generally evaluated on the basis of r...