Latest AI and machine learning research in brain cancer for healthcare professionals.
Cone-beam scanners (CBCT) enable CT to be performed under weight-bearing - notably for the foot and ...
BACKGROUND AND PURPOSE: Accurate determination of glioma grade leads to improved treatment planning....
The hypothesis that destructive mass extinctions enable creative evolutionary radiations (creative d...
The quantitative analysis of images acquired in the diagnosis and treatment of patients with brain t...
BACKGROUND: The consistency of meningioma is a factor that may influence surgical planning and the e...
Acute esophagitis (AE) occurs among a significant number of patients with locally advanced lung canc...
BACKGROUND AND PURPOSE: Increased cellular density is a hallmark of gliomas, both in the bulk of the...
Innovations in CT have been impressive among imaging and medical technologies in both the hardware a...
Differentiating pseudoprogression from true tumor progression has become a significant challenge in ...
Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image nois...
Non-invasive ischemic cancer therapy requires reduced blood flow whereas drug delivery and radiation...
PURPOSE: Contouring inconsistencies are known but understudied in clinical radiation therapy trials....
Complete resection of the tumor is important for survival in glioma patients. Even if the gross tota...
PURPOSE: This study investigated deep learning models for automatic segmentation to support the deve...
Positron emission tomography (PET) imaging plays an indispensable role in early disease detection an...
OBJECTIVES: Deep learning-based automatic segmentation (DLAS) helps the reproducibility of radiomics...
BACKGROUND: Classification of primary central nervous system tumors according to the World Health Or...
PURPOSE: To develop a deep learning model that generates consistent, high-quality lymph node clinica...
Deep learning (DL) has shown great potential in medical image enhancement problems, such as super-re...
As high-throughput approaches in biological and biomedical research are transforming the life scienc...
The use of machine learning and other sophisticated models to aid in prediction and decision making ...