Latest AI and machine learning research in brain cancer for healthcare professionals.
INTRODUCTION: Radiomics now has significant momentum in the era of precision medicine. Glioma is one...
Although the incidence of central nervous system (CNS) cancers is not high, it significantly reduces...
Gliomas are one of the most devastating primary brain tumors which impose significant management cha...
Obtaining accurate data on reference crop evapotranspiration (ET) is important for agricultural wate...
PURPOSE: Magnetic Resonance Imaging (MRI) provides an essential contribution in the screening, detec...
PURPOSE: Glioma is the most common type of primary brain tumor in adults, and it causes significant ...
Background Conventional radiologic modalities perform poorly in the radiated rectum and are often un...
BACKGROUND AND PURPOSE: Differentiating glioblastoma from solitary brain metastasis preoperatively u...
PURPOSE: To develop a two-stage three-dimensional (3D) convolutional neural networks (CNNs) for full...
PURPOSE: Electromagnetic tracking (EMT) can partially replace X-ray guidance in minimally invasive p...
BACKGROUND: Differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblasto...
One of the main requirements of tumor extraction is the annotation and segmentation of tumor boundar...
BACKGROUND: It is very important to accurately delineate the CTV on the patient's three-dimensional ...
BACKGROUND AND PURPOSE: () promoter methylation confers an improved prognosis and treatment respons...
Exposure to appropriate doses of UV radiation provides enormously health and medical treatment benef...
BACKGROUND: In breast cancer patients receiving radiotherapy (RT), accurate target delineation and r...
Recently, artificial intelligence technologies and algorithms have become a major focus for advancem...
Replacing CT imaging with MR imaging for MR-only radiotherapy has sparked the interest of many scien...
In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tens...
Deep learning is becoming increasingly popular and available to new users, particularly in the medic...
Radiogenomics uses machine-learning (ML) to directly connect the morphologic and physiological appea...