Latest AI and machine learning research in brain cancer for healthcare professionals.
Manual segmentation is the gold standard method for radiation therapy planning; however, it is time-...
We propose a multi-view data analysis approach using radiomics and dosiomics (R&D) texture features ...
The volumetric assessment and accurate grading of meningiomas before surgery are highly relevant for...
INTRODUCTION: Survival varies in patients with glioblastoma due to intratumoral heterogeneity and ra...
This brief review summarizes the major applications of artificial intelligence (AI), in particular d...
Methylation of the O-methylguanine methyltransferase (MGMT) gene promoter is correlated with the eff...
There have been many recently published studies exploring machine learning (ML) and deep learning ap...
Deep learning represents end-to-end machine learning in which feature selection from images and clas...
Brain tumors are one of the major common causes of cancer-related death, worldwide. Growth predictio...
PURPOSE: Deep learning has shown great efficacy for semantic segmentation. However, there are diffic...
Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-...
PURPOSE: To develop a deep learning-based metal artifact reduction (DL-MAR) method using unpaired da...
PURPOSE: Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require...
The field of artificial intelligence (AI) is transforming almost every aspect of modern society, inc...
Radiation oncology for prostate cancer is important as it can decrease the morbidity and mortality a...
PURPOSE: To investigate the prediction performance of radiomic models based on multiparametric MRI i...
Artificial intelligence (AI) employs knowledge models that often behave as a black-box to the major...
Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is practised....
Radiomics has potential advantages in the noninvasive histopathological and molecular diagnosis of g...
BACKGROUND: This study aims to identify robust radiomic features for Magnetic Resonance Imaging (MRI...
Background Pharmacokinetic (PK) parameters obtained from dynamic contrast agent-enhanced (DCE) MRI e...