Latest AI and machine learning research in brain cancer for healthcare professionals.
Deep learning models applied to digital histology can predict gene expression signatures (GES) and o...
A hallmark of glioblastoma (GBM) is disease recurrence, which occurs in all patients despite tumor r...
The health consequences of ionizing radiation have long been studied, yet significant uncertainties ...
In this study, we aimed to use advanced machine learning (ML) techniques, specifically transfer lear...
The ability of pre-trained large language models (LLMs) to rapidly master novel natural language pro...
Medical imaging is crucial for glioma management. Combined with MRI, amino acid PET may improve glio...
Thymic involution, characterized by adipose replacement of functional thymic tissue, is a broadly re...
Radiotherapy treatment planning is a resource-intensive process characterized by multiple manual ste...
Accurate and interpretable brain tumor classification remains a critical challenge due to the hetero...
High-grade gliomas (HGGs), including adult glioblastoma (GBM) and pediatric diffuse intrinsic pontin...
Precise glioma segmentation in MRI is essential for accurate diagnosis, optimal treatment planning, ...
Glioblastoma is a highly malignant brain tumor in which maximal safe resection is associated with im...
BACKGROUND: Accurate preoperative grading of meningiomas is crucial for selecting the most suitable ...
BACKGROUND: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We...
It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing ...
Brain tumors pose a significant medical challenge, necessitating early detection and precise classif...
This study presents a robust and efficient client selection protocol designed to optimize the Fede...
Background: Radiation pneumonitis is a side effect of thoracic radiation therapy. Recently, machin...
Vehicle detection and tracking in satellite video is essential in remote sensing (RS) applications...
Automating brain tumor segmentation using deep learning methods is an ongoing challenge in medical...
In this research work, we present our open-source Geant4-based Monte-Carlo simulation application,...