Latest AI and machine learning research in brain cancer for healthcare professionals.
High-resolution computed tomography (CT) imaging is essential for medical diagnosis but requires i...
PURPOSE: Although radiotherapy (RT) is one of the primary treatment modalities used in the treatment...
Cardiac substructures are essential in thoracic radiation therapy planning to minimize risk of rad...
Brain tumors, regardless of being benign or malignant, pose considerable health risks, with malign...
Time-resolved CT is an advanced measurement technique that has been widely used to observe dynamic...
Radiologists are witnessing astonishing innovation and advancement of CT technologies and their clin...
BACKGROUND: The tangential field-in-field (FIF) technique is a widely used method in breast radiatio...
Accurate diagnosis of cerebral tumors is crucial for effective clinical therapeutics and prognosis. ...
AIM: The use of artificial intelligence (AI) and machine learning (ML) is increasingly widespread in...
Radiation therapy is regarded as the mainstay treatment for cancer in clinic. Kilovoltage cone-beam ...
PURPOSE: Distal radius (wrist) and supracondylar (elbow) fractures are common in children presenting...
OBJECTIVES: Multiplexed Positron Emission Tomography (PET) imaging allows simultaneous acquisition o...
Brain tumours continue to be a primary cause of worldwide death, highlighting the critical need for ...
Brain Tumours are highly complex, particularly when it comes to their initial and accurate diagnosis...
BACKGROUND: In order to meet the kinematic requirements of large range of motion, payload, and stiff...
Glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) are c...
Air absorbed dose rate is a key indicator of environmental radiation exposure. In China, automated e...
Artificial intelligence (AI) is transforming multidisciplinary oncology at an unprecedented pace, re...
In this paper, we address the crucial task of brain tumor segmentation in medical imaging and prop...
PURPOSE: This study aims to develop a deep learning framework that leverages modality imputation and...
Low-dose radiation therapy has emerged as a promising modality for cancer treatment because of its a...