Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
The performance of deep learning-based medical image segmentation methods largely depends on the seg...
The ongoing integration of quantum chemistry, statistical mechanics, and artificial intelligence is ...
BACKGROUND: A Trusted Research Environment (TRE; also known as a Safe Haven) is an environment suppo...
This paper seeks to design, develop, and explore the locomotive dynamics and morphological adaptabil...
Learning continually from a stream of training data or tasks with an ability to learn the unseen cla...
Instance segmentation has been developing rapidly in recent years. Mask R-CNN, a two-stage instance ...
Predicting river runoff accurately is of substantial significance for flood control, water resource ...
Keeping computers secure is becoming challenging as networks grow and new network-based technologies...
With the exploration and development of marine resources, deep learning is more and more widely used...
Commonly used nested entity recognition methods are span-based entity recognition methods, which foc...
The objectives are to solve the problems existing in the current ideological and political theory co...
The growing availability of scanned whole-slide images (WSIs) has allowed nephropathology to open ne...
Clinically, proper polyp localization in endoscopy images plays a vital role in the follow-up treatm...
This study considers the boundary stabilization for stochastic delayed Cohen-Grossberg neural networ...
Manual segmentation of stacks of 2D biomedical images (e.g., histology) is a time-consuming task whi...
In water pipeline systems, monitoring and predicting hydraulic transient events are important to ens...
In manyclinical settings, a lot of medical image datasets suffer from imbalance problems, which make...
The measurement of work time for individual tasks by using video has made a significant contribution...
Many real-world applications for robots-such as long-term aerial and underwater observation, cross-m...
This study was aimed at two image segmentation methods of three-dimensional (3D) U-shaped network (U...
Recently, heatmap regression has been widely explored in facial landmark detection and obtained rema...