Latest AI and machine learning research in other cancers for healthcare professionals.
Lung cancer is one of the most critical diseases due to its significant death rate compared to all o...
BACKGROUND AND AIMS: Radiological prediction of microvascular invasion (MVI) of hepatocellular carci...
Liver cancer is a malignant tumor with high morbidity and mortality, which has a tremendous negative...
: Malignant bone tumors represent a major problem due to their aggressiveness and low survival rate....
This study was aimed at two image segmentation methods of three-dimensional (3D) U-shaped network (U...
Sensing and perception is generally a challenging aspect of decision-making. In the nanoscale, howev...
Occlusion-based saliency maps (OBSMs) are one of the approaches for interpreting decision-making pro...
This study aimed to explore the prognostic impact of spatial distribution of tumor-infiltrating lymp...
In the field of medical informatics, sleep staging is a challenging and time consuming task undertak...
While essential to our understanding of solid tumor progression, the study of cell and tissue mechan...
PURPOSE: How to discriminate different risks of recurrent nasopharyngeal carcinoma (rNPC) patients a...
Oral squamous cell carcinoma (OSCC) is prevalent around the world and is associated with poor progno...
Automated classification and detection of brain abnormalities like a tumor(s) in reconstructed micro...
Hepatocellular carcinomas (HCCs) are aggressive tumors with a poor prognosis. Approved first-line tr...
BACKGROUND: Artificial intelligence using computer-aided diagnosis (CADx) in real time with images a...
The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development a...
Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed...
This paper proposes a time-series deep-learning 3D Kinect camera scheme to classify the respiratory ...
OBJECTIVES: To develop and evaluate a deep learning-based algorithm (DLA) for automatic detection of...
OBJECTIVES: This study aimed to develop and validate a combined nomogram model based on deep learnin...
BACKGROUND: Programmed death-ligand 1 (PD-L1) assessment of lung cancer in immunohistochemical assay...