Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
PURPOSE: To use a deep learning model to develop a fully automated method (fully semantic network an...
Mittag-Leffler stabilization is studied for fractional reaction-diffusion cellular neural networks (...
Artificial intelligence (AI) in nuclear medicine has gained significant traction and promises to be ...
The ubiquity of social media usage has led to exciting new technologies such as machine learning. Ma...
Disaster robotics is a growing field that is concerned with the design and development of robots for...
The real-time detection of pine cones in Korean pine forests is not only the data basis for the mech...
BACKGROUND: Textual corpora are extremely important for various NLP applications as they provide inf...
Cohen-Grossberg neural networks (CGNNs) play an important role in many applications and the stabiliz...
Incorporating human domain knowledge for breast tumor diagnosis is challenging because shape, bounda...
An efficient strategy for weakly-supervised segmentation is to impose constraints or regularization ...
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for ...
The aim of this study is to investigate the usefulness of the anomaly detection method by one-class ...
Intravascular ultrasound (IVUS) has been widely used to capture cross sectional lumen frames of inne...
Studies of medical flow imaging have technical limitations for accurate analysis of blood flow dynam...
The reconsolidation and extinction of aversive memories and their boundary conditions have been exte...
In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learnin...
Accurate and automatic segmentation of medical images is a crucial step for clinical diagnosis and a...
Optic disc (OD) and optic cup (OC) segmentation are important steps for automatic screening and diag...
The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effe...
The medical and machine learning communities are relying on the promise of artificial intelligence (...
Over the past decade, there has been a groundswell of research interest in computer-based methods fo...