Latest AI and machine learning research in brain cancer for healthcare professionals.
Artificial intelligence has become a popular field of research with goals of integrating it into the...
Long noncoding RNAs (lncRNAs) are recently implicated in modifying immunology in colorectal cancer (...
Delineation of relevant normal tissues is a bottleneck in image-guided precision radiotherapy workfl...
Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular...
OBJECTIVE: Hypoxia presents a salient feature investigated in most solid tumors that holds key roles...
BACKGROUND: The evaluation of automatic segmentation algorithms is commonly performed using geometri...
OBJECTIVES: This study aimed to investigate the impact of a deep learning-based reconstruction (DLR)...
PURPOSE: Patients with pharmacoresistant refractory epilepsy may require epilepsy surgery to prevent...
PURPOSE: For pancreatic cancer patients, image guided radiation therapy and real-time tumor tracking...
OBJECTIVES: We aimed to predict the mortality of patients with craniotomy in ICU by using predictive...
OBJECTIVES: To compare the image quality and radiation dose of a deep learning image reconstruction ...
OBJECTIVES: To explore the use of 70-kVp tube voltage combined with high-strength deep learning imag...
BACKGROUND: Glioblastoma (GBM) can be divided into subtypes according to their genomic features, inc...
A supervised CNN Deep net classifier is proposed for the detection, classification and diagnosis of ...
PURPOSE: This study aimed to investigate the clinical usefulness of the enhanced-T1WI-based deep lea...
Optic pathway gliomas are low-grade neoplastic lesions that account for approximately 3-5% of brain ...
To determine safety and feasibility of single-port Retzius-sparing robot-assisted radical prostatec...
Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence su...
This study proposes a convolutional neural network (CNN)-based computer-aided diagnosis (CAD) system...
BACKGROUND: A tomographic patient model is essential for radiation dose modulation in x-ray computed...
One way of reducing environmental pollution is to reduce our dependence on fossil fuels by replacing...