Latest AI and machine learning research in brain cancer for healthcare professionals.
Accumulating evidence suggests that a wide variety of cell deaths are deeply involved in cancer immu...
Liquid biopsy has multiple benefits and is used extensively in other fields of oncology, but its rol...
A 52-year-old, Japanese man presented to the hospital with a complaint of anal bleeding, and detaile...
The U.S. Government is committed to maintaining a robust research program that supports a portfolio ...
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...
Magnetic resonance image guided radiation therapy (MRIgRT) is a relatively new technology that has a...
Spatial transcriptomics (ST) represents a pivotal advancement in biomedical research, enabling the t...
Purpose To develop a fully automated device- and sequence-independent convolutional neural network (...
Purpose To present results from a literature survey on practices in deep learning segmentation algor...
PURPOSE: To apply deep learning algorithms to histopathology images, construct image-based subtypes ...
Glioblastoma is a highly malignant central nervous system tumor, World Health Organization â…£, gliob...
BACKGROUND: Histopathological evaluation is currently the gold standard for grading gliomas; however...
Deep learning (DL) is widely used in dose prediction for radiation oncology, multiple DL techniques...
Deep learning (DL) is poised to redefine the way medical images are processed and analyzed. Convolut...