Latest AI and machine learning research in brain cancer for healthcare professionals.
In this work, the ability of rare VHE gamma ray selection with neural network methods is investiga...
Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely...
Background: The radiation oncology clinical practice involves many steps relying on the dynamic in...
Z-stack scanning is an emerging whole slide imaging technology that captures multiple focal planes...
Fiducial marker positions in projection image of cone-beam computed tomography (CBCT) scans have b...
The generation of synthetic CT (sCT) images from cone-beam CT (CBCT) data using deep learning meth...
Brain imaging plays a crucial role in the diagnosis and treatment of various neurological disorder...
Foundation models pretrained on large-scale pathology datasets have shown promising results across...
Measurement quality assurance (QA) practices play a key role in the safe use of Intensity Modulate...
Glioblastoma, a highly aggressive brain tumor, poses major challenges due to its poor prognosis an...
Brain cancer represents a major challenge in medical diagnostics, requisite precise and timely det...
Objective: There exist several X-ray computed tomography (CT) scanning strategies to reduce a radi...
In Sub-Saharan Africa (SSA), the utilization of lower-quality Magnetic Resonance Imaging (MRI) tec...
By use of complex network dynamics and graph-based machine learning, we identified critical determ...
Lung cancer patients often experience increased metastasis formation after radiotherapy. However, it...
Spatial transcriptomics (ST) technologies provide genome-wide mRNA profiles in tissue context but la...
Despite improved outcomes with atezolizumab plus bevacizumab (A+B) in hepatocellular carcinoma (HCC)...
Glioblastoma (GBM) is an aggressive brain tumor with limited prognostic biomarkers and therapeutic t...
Autophagy is an essential mechanism for maintaining cell homeostasis and, when dysregulated, is rela...
Patient-derived organoids preserve critical tumor features and drug sensitivity patterns that mirror...
To develop a deep learning framework, RPEGENE-Net, capable of predicting gene expression profiles of...