Latest AI and machine learning research in brain cancer for healthcare professionals.
PURPOSE: We developed a deep learning (DL) model for fast deformable image registration using 2-dime...
Accurate clinical target volume (CTV) delineation is important for head and neck intensity-modulated...
. Deep learning (DL) models for fluence map prediction (FMP) have great potential to reduce treatmen...
For accurate respiration gated radiation therapy, compensation for the beam latency of the beam cont...
BACKGROUND: Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is ...
It is difficult for traditional signal-recognition methods to effectively classify and identify mult...
BACKGROUND: Gliomas are highly complex and heterogeneous tumors, rendering prognosis prediction chal...
AIM OF STUDY: Glioblastoma Multiforme (GBM) is an aggressive brain cancer in adults that kills most ...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have resulted in significant enth...
The development of clinical trials has led to substantial improvements in the prevention and treatme...
INTRODUCTION: Contouring organs at risk (OARs) is a time-intensive task that is a critical part of r...
BACKGROUND: Routinely delineating of important skeletal growth centers is imperative to mitigate rad...
Iterative reconstruction (IR) techniques are susceptible to contrast-dependent spatial resolution, ...
According to the limited molecular information reflected by single spectroscopy, and the complementa...
In recent years, radioactive sources have been widely used in various fields (e.g., nuclear industry...
As the ground-based instruments for measuring net radiation are costly and need to be handled skillf...
The three horizons model is a framework that helps manage an organization's innovation strategy. Thi...
Accurate brain meningioma segmentation and volumetric assessment are critical for serial patient fol...
Background Photon-counting detector (PCD) CT and deep learning noise reduction may improve spatial r...
Automatic segmentation of glioma and its subregions is of great significance for diagnosis, treatmen...
Recently, dental cone-beam computed tomography (CBCT) methods have been improved to significantly re...