Latest AI and machine learning research in radiology for healthcare professionals.
Liver fibrosis is a common liver disease that seriously endangers human health. Liver biopsy is the ...
OBJECTIVE: Machine learning, deep learning, and artificial intelligence (AI) are terms that have mad...
BACKGROUND In this study we aimed to establish a new transfer learning model based on noncontrast an...
Pulmonary embolism (PE) is a blood clot traveling to the lungs and is associated with substantial mo...
Thyroid volumetry is crucial in the diagnosis, treatment, and monitoring of thyroid diseases. Howeve...
OBJECTIVES: To evaluate the effect of a deep learning-based computer-aided diagnosis (DL-CAD) system...
Perception can influence individuals' behaviour and attitude affecting responses and compliance to p...
A brain tumor is the growth of abnormal cells in certain brain tissues with a high mortality rate; t...
Brain-age (BA) estimates based on deep learning are increasingly used as neuroimaging biomarker for ...
BACKGROUND AND OBJECTIVES: Automatic vessel segmentation in ultrasound is challenging due to the qua...
Ultrasound is a green technology for intensifying enzymatic reactions. In this study, an ultrasonic ...
The human olfactory bulb (OB) has a laminar structure. The segregation of cell populations in the OB...
Cardiovascular magnetic resonance (CMR) is an important cardiac imaging tool for assessing the progn...
Intravascular ultrasound (IVUS) imaging allows direct visualization of the coronary vessel wall and ...
In recent years, deep convolutional neural network (CNN)-based image enhancement has shown outstandi...
In the artificial intelligence era, machine learning (ML) techniques have gained more and more impor...
Chronic diseases are the most severe health concern today, and heart disease is one of them. Coronar...
Background Assessment of appropriate brain myelination on T1- and T2-weighted MRI scans is based on ...
PURPOSE: Attenuation correction is a critically important step in data correction in positron emissi...
OBJECTIVE: Convolutional neural networks (CNNs) are being increasingly used in the medical field, es...
Morphological and diagnostic evaluation of pediatric musculoskeletal system is crucial in clinical p...