Latest AI and machine learning research in brain cancer for healthcare professionals.
Brain tumours are the most commonly occurring solid tumours in children, albeit with lower incidence...
The treatment of primary central nervous system tumors is challenging due to the blood-brain barrier...
Machine- and patient-specific quality assurance (QA) is essential to ensure the safety and accuracy ...
The medical application of Computed Tomography (CT) is to provide detailed anatomical structures of ...
Due to its complexity and time-consuming nature, identifying gliomas at the Magnetic Resonance Imagi...
Purpose To develop, externally test, and evaluate clinical acceptability of a deep learning pediatri...
Cosmic radiation exposure is one of the important health concerns for aircrews. In this work, we con...
BACKGROUND: This study evaluated whether generative artificial intelligence (AI)-based augmentation ...
Liquid biopsy has multiple benefits and is used extensively in other fields of oncology, but its rol...
Accumulating evidence suggests that a wide variety of cell deaths are deeply involved in cancer immu...
The U.S. Government is committed to maintaining a robust research program that supports a portfolio ...
A 52-year-old, Japanese man presented to the hospital with a complaint of anal bleeding, and detaile...
OBJECTIVE: The fully automatic segmentation of glioma and its subregions is fundamental for computer...
The increasing global incidence of glioma tumors has raised significant healthcare concerns due to t...
Traditional spine surgery frequently encounters difficulties with inadequate surgical visualization ...
BACKGROUND: Deep learning techniques explain the enormous potential of medical image analysis, parti...
OBJECTIVES: Glioblastoma (GBM) and brain metastases (BMs) are the two most common malignant brain tu...
Radiation therapy interruptions drive cancer treatment failures; they represent an untapped opportun...
The segmentation of organs and structures is a critical component of radiation therapy planning, wit...
BACKGROUND: Deep learning has revolutionized medical image analysis in cancer pathology, where it ha...
Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structu...