Latest AI and machine learning research in brain cancer for healthcare professionals.
Microvascularity is highly correlated with the grading and subtyping of gliomas, making this one of ...
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can ...
PURPOSE: Deep learning is an emerging technique that allows us to capture imaging information beyond...
Glioma is one of the most common and aggressive brain tumors. Segmentation and subsequent quantitati...
Machine learning approaches to problem-solving are growing rapidly within healthcare, and radiation ...
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radia...
Cell segmentation in microscopy images is a common and challenging task. In recent years, deep neura...
Brain and breast tumors cause significant morbidity and mortality worldwide. Accurate and expedient ...
Solar energy is a major type of renewable energy, and its estimation is important for decision-maker...
BACKGROUND: Glioma is the most lethal nervous system cancer. Recent studies have made great efforts ...
BACKGROUND: Vascular interventions imply radiation exposure to the operating physician (OP). To redu...
Inverse treatment planning in radiation therapy is formulated as solving optimization problems. The ...
BACKGROUND: Neuroimaging analysis is currently crucial for an early assessment of glioblastoma, to h...
PURPOSE: To predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally a...
Recent analysis identified distinct genomic subtypes of lower-grade glioma tumors which are associat...
OBJECTIVES: To noninvasively differentiate meningioma grades by deep learning radiomics (DLR) model ...
Rapid classification of tumors that are detected in the medical images is of great importance in the...
Tumor segmentation is of great importance for diagnosis and prognosis of brain cancer in medical fie...
PURPOSE: One of the promising options for motion management in radiation therapy (RT) is the use of ...
OBJECTIVES: To investigate the association between proton magnetic resonance spectroscopy (H-MRS) me...
BACKGROUND: This study aimed to examine multi-dimensional MRI features' predictability on survival o...