Latest AI and machine learning research in radiology for healthcare professionals.
The diagnosis of pancreatic cystic lesions remains challenging. This study aimed to investigate the ...
During mammogram screening, there is a higher probability that detection of cancers is missed, and m...
Biological tumour volume (GTV) delineation on F-FDG PET acquired during induction chemotherapy (ICT)...
In recent years, some convolutional neural networks (CNNs) have been proposed to segment sub-cortica...
Advances in predictive analytics and machine learning supported by an ever-increasing wealth of data...
Coronary CT angiography (CCTA)-based methods allow noninvasive estimation of fractional flow reserv...
Background Renal impairment is common in patients with coronary artery disease and, if severe, late ...
Magnetic resonance imaging (MRI) volumetric measures have become a standard tool for the detection o...
The advent of computer graphic processing units, improvement in mathematical models and availability...
With the development of medical technology in China, new difficulties are gradually emerging in trad...
Detecting acoustic shadows in ultrasound images is important in many clinical and engineering applic...
As a widely used imaging modality in the medical field, ultrasound has been applied in community med...
BACKGROUND: Although recent advances in multiparametric magnetic resonance imaging (MRI) led to an i...
Tumor segmentation is of great importance for diagnosis and prognosis of brain cancer in medical fie...
Image synthesis is a novel solution in precision medicine for scenarios where important medical imag...
PURPOSE: To evaluate the potential value of machine learning (ML)-based histogram analysis (or first...
PURPOSE: One of the promising options for motion management in radiation therapy (RT) is the use of ...
In the last decade, technical advances in the field of medical imaging significantly improved and br...
Accurate measuring of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) is vital f...
This review article aimed to highlight the application and use of artificial intelligence (AI) in op...
BACKGROUND: Recent deep learning models have shown remarkable accuracy for the diagnostic classifica...