Latest AI and machine learning research in brain cancer for healthcare professionals.
. Limited-angle dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achiev...
Accurate survival prediction is critical in oncology for prognosis and treatment planning. Traditi...
Magnetic resonance imaging-guided adaptive radiotherapy (MRIgART) is a promising technique for long-...
OBJECTIVE: To evaluate the radiation and contrast dose reduction potential of combining 70 kV with d...
Coronary CT angiography (CCTA) has been widely used as a noninvasive modality for accurate assessmen...
Purpose To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT s...
Low-grade gliomas (LGGs) are among the most problematic brain tumors to reliably segment in FLAIR MR...
RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abn...
PURPOSE: Current guidelines for thyroid radiation dose prescription lack uniformity and fail to cons...
The absence of MRI sequences is a common occurrence in clinical practice, posing a significant chall...
The medical community continually seeks innovative solutions to address healthcare challenges, parti...
Artificial intelligence (AI) has gained significant attention in various scientific fields due to it...
Cancer is a genetic disorder whose clonal evolution can be monitored by tracking noisy genome-wide...
We propose HQCM-EBTC, a hybrid quantum-classical model for automated brain tumor classification us...
Reconstructing 3D visual stimuli from Electroencephalography (EEG) data holds significant potentia...
Medical image segmentation has greatly aided medical diagnosis, with U-Net based architectures and...
Cone-beam computed tomography (CBCT) is widely used in dentistry, surgery, radiotherapy and other me...
Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) rem...
Dental diagnosis relies on two primary imaging modalities: panoramic radiographs (PX) providing 2D...
Background: Radiation-induced leukopenia caused by low-dose exposure is frequently associated with...
AI requires extensive datasets, while medical data is subject to high data protection. Anonymizati...