Latest AI and machine learning research in brain cancer for healthcare professionals.
PURPOSE: To present the technical details of the runner-up model in the open knowledge-based plannin...
BACKGROUND: Laser-interstitial thermal therapy (LITT) is an ablative treatment based on a surgically...
BACKGROUND: Chest CT angiography (CTA) is a convenient clinical examination for children with an inc...
Breast-conserving surgery requires supportive radiotherapy to prevent cancer recurrence. However, th...
Radiomics seeks to apply classical methods of image processing to obtain quantitative parameters fro...
The broad possibilities offered by microfluidic devices in relation to massive data monitoring and a...
Machine learning (ML) holds great promise for impacting healthcare delivery; however, to date most m...
Ground robotic vehicles are often deployed to inspect areas where radioactive floor contamination is...
In recent years, the incidence of thyroid nodules has shown an increasing trend year by year and has...
During the radiotherapy treatment of patients with lung cancer, the radiation delivered to healthy t...
Few studies have addressed radiomics based differentiation of Glioblastoma (GBM) and intracranial me...
In a time of rapid advances in science and technology, the opportunities for radiation oncology are ...
PURPOSE: Accurate deformable registration between computed tomography (CT) and cone-beam CT (CBCT) i...
The automated capability of generating spatial prediction for a variable of interest is desirable in...
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year survival rate o...
Advances in artificial intelligence-based methods have led to the development and publication of num...
Glioblastoma remains the most devastating brain tumor despite optimal treatment, because of the high...
Resistance to ionizing radiation, a first-line therapy for many cancers, is a major clinical challen...
Generative adversarial network (GAN) creates synthetic images to increase data quantity, but whether...
BACKGROUND AND PURPOSE: Delineating organs at risk (OARs) on computed tomography (CT) images is an e...
This study aims to present an exact model for predicting solar radiation worldwide through a general...