Latest AI and machine learning research in brain cancer for healthcare professionals.
Cone-beam computed tomography (CBCT) produces high-resolution of hard tissue even in small voxel siz...
Inhibition of pathological angiogenesis has become one of the first FDA approved targeted therapies ...
Traditional teaching suggests that prior pelvic operations, including prostatectomy, are a contraind...
BACKGROUND: Glioma irradiation often unavoidably damages the brain volume and affects cognition. Thi...
Glioma is heterogeneous disease that requires classification into subtypes with similar clinical phe...
PURPOSE: Real-world evidence for radiation therapy (RT) is limited because it is often documented on...
To determine glioma grading by applying radiomic analysis or deep convolutional neural networks (DCN...
The purpose is to evaluate whether deep learning-based denoising (DLD) algorithm provides sufficient...
OBJECTIVE: To investigate the image quality and lesion conspicuity of a deep-learning-based contrast...
Molecular biomarkers are becoming increasingly important in the classification of intracranial gliom...
Accurate and precise positioning of the acetabular cup remains a prevalent challenge in total hip ar...
BACKGROUND: Reducing the radiation dose from computed tomography (CT) can significantly reduce the r...
BACKGROUND: Studies have shown that magnetic resonance imaging (MRI)-based deep learning radiomics (...
Current analysis techniques available for migration assays only provide quantitative measurements fo...
Cannulated screw fixation is the main therapy for femoral neck fractures, especially in young patien...
In 1971, the first computed tomography (CT) scan was performed on a patient's brain. Clinical CT sys...
BACKGROUND: Whether primary brainstem hemorrhage (PBH) should be treated with a conservative treatme...
PURPOSE: To develop a deep learning model that combines CT and radiation dose (RD) images to predict...
Tumor segmentation is a fundamental step for radiotherapy treatment planning. To define an accurate...
. The purpose of this study was to evaluate the accuracy of brachytherapy (BT) planning structures d...
Modern computer vision algorithms are based on convolutional neural networks (CNNs), and both end-to...