Latest AI and machine learning research in brain cancer for healthcare professionals.
OBJECTIVES: To develop and validate a deep learning imaging signature (DLIS) for risk stratification...
Deep inspiration breath-hold (DIBH) is widely used to reduce the cardiac dose in left-sided breast c...
Clinical diagnosis has become very significant in today's health system. The most serious disease a...
Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer wit...
BACKGROUND AND PURPOSE: Changes of healthy appearing brain tissue after radiotherapy (RT) have been ...
AIMS: Objective evaluation of radiation dermatitis is important for analysing the correlation betwee...
Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (MM), is an extremely unc...
A brain tumor is the growth of abnormal cells in certain brain tissues with a high mortality rate; t...
BACKGROUND: Organs at risk (OARs) delineation is a crucial step of radiotherapy (RT) treatment plann...
PURPOSE: Brain metastases (BM) occur frequently in patients with metastatic cancer. Early and accura...
BACKGROUND: We describe and evaluate a deep network algorithm which automatically contours organs at...
To compare the quality of CT images of the lung reconstructed using deep learning-based reconstructi...
PURPOSE: Attenuation correction is a critically important step in data correction in positron emissi...
INTRODUCTION: Glioblastomas (GBMs) are highly aggressive tumors. A common clinical challenge after s...
The use of deep learning (DL) to improve cone-beam CT (CBCT) image quality has gained popularity as ...
Background and Objectives: Although reducing the radiation dose level is important during diagnostic...
In most deep learning-based brain tumor segmentation methods, training the deep network requires ann...
INTRODUCTION: It is estimated that around 50% of cancer patients require Radiotherapy (RT) at some p...
PURPOSE: The aim of this study was to evaluate the effect of salvage radiation therapy (sRT) on surv...
Machine learning (ML) models have been shown to predict the presence of clinical factors from medica...
Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblastoma multifo...