Latest AI and machine learning research in brain cancer for healthcare professionals.
The segmentation and risk grade prediction of gliomas based on preoperative multimodal magnetic reso...
Radiomics is a promising neuroimaging technique for extracting and analyzing quantitative glioma fea...
With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monit...
Malignant gliomas, including glioblastoma, are amongst the most aggressive primary brain tumours, ch...
Humans encounter both natural and artificial radiation sources, including cosmic rays, primordial ra...
OBJECTIVES: To convert 1D spectra into 2D images using the Gramian angular field, to be used as inpu...
BACKGROUND: Preoperative and noninvasive detection of isocitrate dehydrogenase (IDH) and telomerase ...
BACKGROUND: Glioblastoma (GBM) is a highly aggressive brain tumor associated with a poor patient pro...
Thoracic Cone-beam computed tomography (CBCT) is routinely collected during image-guided radiation t...
Photoacoustic tomography (PAT) has emerged as a promising imaging modality for breast cancer detecti...
Early prediction of recurrence in high-grade glioma (HGG) is critical due to its aggressive nature a...
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparame...
Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biops...
SIGNIFICANCE: Maximal safe resection of brain tumors can be performed by neurosurgeons through the u...
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection ...
BACKGROUND: The electronic compensation (ECOMP) technique for breast radiation therapy provides exce...
Since the malignancy of gliomas varies with their grade, classifying gliomas of different grades can...
This white paper examines the potential of pioneering technologies and artificial intelligence-drive...
. This study presents machine learning (ML) models that predict if deep inspiration breath hold (DIB...
Advances in neuro-oncology have transformed the diagnosis and management of brain tumors, which are ...
BACKGROUND: Radiomic analysis of quantitative features extracted from segmented medical images can b...