Latest AI and machine learning research in brain cancer for healthcare professionals.
Preoperative classification of brain tumors is critical to developing personalized treatment plans, ...
Nanomaterials represent an innovation in cancer imaging by offering enhanced contrast, improved targ...
The American College of Veterinary Radiology (ACVR) and the European College of Veterinary Diagnosti...
PURPOSE: Patients with identical stages or similar tumor volumes can vary significantly in their res...
. X-ray computed tomography employing low-dose x-ray source is actively researched to reduce radiati...
The increasing use of ionizing radiation has raised concerns about adverse and long-term health risk...
PURPOSE: Cone beam computed tomography (CBCT)-based online adaptive radiation therapy is carried out...
Low-dose computed tomography (LDCT) is a specialized CT scan with a lower radiation dose than normal...
BACKGROUND: Radiation dermatitis (RD) is a significant side effect of radiotherapy experienced by br...
PURPOSE: To assess the rate of retinal vascularization derived from ultra-widefield (UWF) imaging-ba...
PURPOSE: To develop and compare machine learning models for distinguishing low and high grade mening...
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined anal...
Brain tumors refer to the abnormal growths that occur within the brain's tissue, comprising both pri...
Gene selection is crucial for cancer classification using microarray data. In the interests of impro...
OBJECTIVE: Exploring the construction of a fusion model that combines radiomics and deep learning (D...
BACKGROUND: Artificial intelligence (AI) presents a promising approach to balancing high image quali...
Health is fundamental to human well-being, with brain health particularly critical for cognitive fun...
INTRODUCTION: Hydrogel spacers (HS) are designed to minimise the radiation doses to the rectum in pr...
Computer-aided automatic brain tumor detection is crucial for timely diagnosis and treatment, especi...
Meningioma, the most prevalent brain tumor, poses significant challenges due to its unclear transiti...
BACKGROUND: Understanding the BRAF alterations preoperatively could remarkably assist in predicting ...