Latest AI and machine learning research in radiology for healthcare professionals.
This study aims at improving the lower-limb muscle segmentation accuracy of deep learning approaches...
Sparse matrix beamforming (SMB) is a computationally efficient reformulation of delay-and-sum (DAS) ...
BACKGROUND: Fluorodeoxyglucose positron emission tomography (FDG PET) with suppression of myocardial...
Microrobots possessing multifunctional integration are desired for therapeutics and biomedicine appl...
Medical image classification using convolutional neural networks (CNNs) is promising but often requi...
Interventional oncology provides image-guided therapies, including transarterial tumor embolization ...
PURPOSE: This study aims to demonstrate the performance of machine learning algorithms to distinguis...
With the ongoing revolution of artificial intelligence (AI) in medicine, the impact of AI in radiolo...
The application of machine learning to tasks involving volumetric biomedical imaging is constrained ...
PURPOSE: Magnetic resonance (MR)-guided radiation therapy enables online adaptation to address intra...
PURPOSE: Using computer-aided design (CAD) systems, this research endeavors to enhance breast cancer...
Brain tumor is a type of disease caused by uncontrolled cell proliferation in the brain leading to s...
INTRODUCTION: Lutetium-177 (Lu-177) prostate-specific membrane antigen (PSMA) therapy is a radionucl...
The integration of different imaging modalities, such as structural, diffusion tensor, and functiona...
BACKGROUND: The acquisition of contrast-enhanced T1 maps to calculate extracellular volume (ECV) req...
BACKGROUND: Plaque quantification from coronary computed tomography angiography has emerged as a val...
Wall Shear Stress (WSS) is one of the most important parameters used in cardiovascular fluid mechani...
Acoustic trap, using ultrasound interference to ensnare bioparticles, has emerged as a versatile too...
To explore the predictive value of traditional machine learning (ML) and deep learning (DL) algorith...
In this study, we introduce MGA-Net, a novel mask-guided attention neural network, which extends the...
Rapid on-site cytopathology evaluation (ROSE) has been considered an effective method to increase th...