Latest AI and machine learning research in radiology for healthcare professionals.
Breath-hold T2-weighted half-Fourier acquisition single-shot turbo spin echo (HASTE) magnetic reson...
OBJECTIVES: Accurate kidney and tumor segmentation of computed tomography (CT) scans is vital for di...
OBJECTIVE: Accurate preoperative evaluation of myometrial invasion (MI) is essential for treatment d...
Kidney stone is a common urological disease in dogs and can lead to serious complications such as py...
BACKGROUND: Cervical lymph node metastasis (LNM) is a well-established poor prognosticator of oral s...
Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythe...
Optical aberrations hinder fluorescence microscopy of thick samples, reducing image signal, contrast...
BACKGROUND: Computed tomography scans are widely used in everyday medical practice due to speed, ima...
Automatic report generation has arisen as a significant research area in computer-aided diagnosis, a...
Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance ...
Segmentation of the coronary artery is an important task for the quantitative analysis of coronary c...
Accelerated MRI protocols routinely involve a predefined sampling pattern that undersamples the k-sp...
In multi-modal magnetic resonance imaging (MRI), the tasks of imputing or reconstructing the target ...
Reducing the dose of radiation in computed tomography (CT) is vital to decreasing secondary cancer r...
Skin lesion is one of the most common diseases, and most categories are highly similar in morphology...
Ovarian lesions are common and often incidentally detected. A critical shortage of expert ultrasound...
OBJECTIVE: To compare iodine density (ID) and contrast-enhanced attenuation value (CEAV) from dual-l...
Recent advancements in cardiac imaging have been significantly enhanced by integrating deep learning...
PURPOSE: We sought to clinically validate a fully automated deep learning (DL) algorithm for coronar...
OBJECTIVE: This study aimed to develop a simple machine-learning model incorporating lymph node meta...
This study aims to develop a computerized classification method for significant coronary artery sten...