Latest AI and machine learning research in other cancers for healthcare professionals.
OBJECTIVE: To assess the utility of deep learning analysis using F-fluorodeoxyglucose (FDG) uptake b...
BACKGROUND: Good feature reproducibility enhances model reliability. The manual segmentation of gast...
The wealth of information captured by multiparameter flow cytometry (MFC) can be analyzed by recent ...
Lung cancer is one of the major causes of cancer-related deaths in many countries around the world, ...
Machine learning (ML) modeling of the human microbiome has the potential to identify microbial bioma...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcino...
INTRODUCTION: We previously developed a convolutional neural networks (CNN)-based algorithm to disti...
OBJECTIVE: To apply a deep learning object detection technique to CT images for detecting cervical l...
PURPOSE: Liver Imaging Reporting and Data System (LI-RADS) uses multiphasic contrast-enhanced imagin...
PURPOSE: Radiation therapy (RT) is prescribed for curative and palliative treatment for around 50% o...
BACKGROUND: The World Health Organization (WHO) called for global action towards the elimination of ...
N-methyladenosine (mA) is a well-studied and most common interior messenger RNA (mRNA) modification ...
BACKGROUND: Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinom...
MOTIVATION: Brain or central nervous system cancer is the tenth leading cause of death in men and wo...
A pathological evaluation is one of the most important methods for the diagnosis of malignant lympho...
The emergence of deep-learning methods in different computer vision tasks has proved to offer increa...
Precision oncology involves effectively selecting drugs for cancer patients and planning an effectiv...
Glioblastoma is a heterogeneous lethal disease, regulated by a stem-cell hierarchy and the neurotra...
Background Deep learning may help to improve computer-aided detection of volume (CADv) measurement o...
PURPOSE: To accurately distinguish benign from malignant pulmonary nodules with CT based on partial ...
PURPOSE: To determine whether a machine learning approach optimizes survival estimation for patients...