Latest AI and machine learning research in brain cancer for healthcare professionals.
PURPOSE: The aim of this study is to improve the performance of machine learning (ML) models in pred...
This retrospective study has been conducted to validate the performance of deep learning-based survi...
PURPOSE: Radiation pneumonitis (RP) is the main source of toxicity in thoracic radiotherapy. This st...
INTRODUCTION: Implementation of Artificial Intelligence (AI) into medical imaging is much debated. D...
BACKGROUND: Patients with urolithiasis undergo radiation overexposure from computed tomography (CT) ...
In order to deliver accurate and safe treatment to cancer patients in radiation therapy using advanc...
Segmentation of organs and structures, as either targets or organs-at-risk, has a significant influe...
A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from gliob...
The aim of the study is to evaluate the efficacy of the combination of Raman spectroscopy with featu...
BACKGROUND: Glioma is a malignant brain tumor; its location is complex and is difficult to remove su...
PURPOSE: Computed tomography (CT)-based attenuation correction (CTAC) in single-photon emission comp...
In water scenes, where hazy images are subject to multiple scattering and where ideal data sets are ...
Lung cancer has a high mortality rate. Promoting early diagnosis and screening of lung cancer is the...
Artificial intelligence, including deep learning, is currently revolutionising the field of medical ...
We have previously proposed an intelligent automatic treatment planning (IATP) framework that builds...
PURPOSE: Radiation therapy treatment planning is a time-consuming and iterative manual process. Cons...
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...