Latest AI and machine learning research in brain cancer for healthcare professionals.
This study aims to develop an ensemble learning (EL) method based on magnetic resonance (MR) radiomi...
BACKGROUND: There is ongoing uncertainty about the effectiveness of various adjuvant treatments for ...
PURPOSE: The formulation and optimization of radiation therapy plans are complex and time-consuming ...
Primary diffuse central nervous system large B-cell lymphoma (CNS-pDLBCL) and high-grade glioma (HGG...
Urinary toxicities are one of the serious complications of radiotherapy for prostate cancer, and dos...
BACKGROUND: Fluoroscopy guided interventions (FGIs) pose a risk of prolonged radiation exposure; per...
OBJECTIVES: To develop a machine learning-based pipeline for multi-organ/tissue personalized radiati...
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head an...
Artificial intelligence (AI) radiation therapy (RT) planning holds promise for enhancing the consist...
A precise radiotherapy plan is crucial to ensure accurate segmentation of glioblastomas (GBMs) for r...
BACKGROUND: Radiotherapy has been crucial in prostate cancer treatment. However, manual segmentation...
Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplin...
PURPOSE: In the rapidly expanding field of artificial intelligence (AI) there is a wealth of literat...
Third harmonic generation (THG) microscopy shows great potential for instant pathology of brain tumo...
BackgroundGlioma is one of the most common primary brain tumors. The presence of the telomerase reve...
Artificial intelligence can standardize and automatize highly demanding procedures, such as manual s...
This study explores the impact of densely-ionizing radiation on non-cancer and cancer diseases, focu...
Hematoxylin and eosin (H&E) staining is a crucial technique for diagnosing glioma, allowing direct o...
OBJECTIVE: To investigate the accuracy of machine learning (ML) algorithms in stratifying risk of pr...
PURPOSE: Organ-at-risk segmentation is essential in adaptive radiotherapy (ART). Learning-based auto...
Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interf...