Latest AI and machine learning research in radiology for healthcare professionals.
Hyperthermia (HT) in combination with radio- and/or chemotherapy has become an accepted cancer treat...
Radiological expertise develops through extensive experience in specific imaging modalities. While p...
Deep learning shows promise in automated brain tumour segmentation, but it depends on costly expert ...
Coronary artery disease (CAD) is a prevalent cardiovascular condition with profound health implicati...
Leiomyomas (LM) and adenomyosis (AM) are common gynecological diseases with high incidence rates and...
Coronary artery disease (CAD) is a major cause of ill health and death worldwide. Coronary computed ...
BACKGROUND: Trackable ultrasound probes facilitate ultrasound-guided procedures, allowing real-time ...
Artificial intelligence makes strides in specialized diagnostics but faces challenges in complex cli...
Alzheimer's disease (AD) is one of the primary causes of dementia in the older population, affecting...
This study investigated a series of deep learning (DL) models for the objective assessment of four c...
The accurate assessment of muscle morphology and function is crucial for medical diagnostics, rehabi...
: This study aimed to create a pipeline for standardized data extraction from lumbar-spine MRI radio...
Alzheimer's disease (AD) is a devastating neurodegenerative condition that precedes progressive and ...
Clinical staging of liver cancer (CSoLC), an important indicator for evaluating primary liver cancer...
The sellar region tumor is a brain tumor that only exists in the brain sellar, which affects the cen...
Incurable Alzheimer's disease (AD) plagues many elderly people and families. It is important to accu...
For optical coherence tomography angiography (OCTA) images, the limited scanning rate leads to a tra...
Cerebrovascular segmentation from time-of-flight magnetic resonance angiography (TOF-MRA) and comput...
PURPOSE: Magnetic resonance imaging (MRI) is an essential technique for diagnosing pituitary adenoma...
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for t...
Lung adenocarcinoma (LUAD) constitutes a major cause of cancer-related fatalities worldwide. Early i...