Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Salient Object Detection (SOD) simulates the human visual perception in locating the most attractive...
Despite the widespread use of encryption techniques to provide confidentiality over Internet communi...
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value t...
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...
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...