Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Channel attention mechanisms have been commonly applied in many visual tasks for effective performan...
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value t...
Limited angle reconstruction is a typical ill-posed problem in computed tomography (CT). Given incom...
It is a challenging task to track objects moving along an unknown trajectory. Conventional model-bas...
The case assignment system is an essential system of case management and assignment within the procu...
Text spotting in natural scene images is of great importance for many image understanding tasks. It ...
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at abdominal CT. Purp...
The discovery of cancer subtypes based on unsupervised clustering helps in providing a precise diagn...
As deep learning technology paves its way, real-world applications that make use of it become popula...
With the advance in user-friendly and powerful video editing tools, anyone can easily manipulate vid...
Benefiting from the powerful expressive capability of graphs, graph-based approaches have been popul...
By analyzing the feasibility of the digital twin technology in the assembly of construction machiner...
Machine learning (ML) is increasingly being used to guide drug discovery processes. When applying ML...
We propose a conceptually simple, general framework and end-to-end approach to point cloud completio...
Visual properties that primarily attract bottom-up attention are collectively referred to as salienc...
Despite a rise in the use of functional Near Infra-Red Spectroscopy (fNIRS) to study neural systems,...
In nature and human society, successive lag synchronization (SLS) is an important synchronization ph...
Antibodies are a rapidly growing class of therapeutics. Recently, single domain camelid VHH antibodi...
Abnormal or violent behavior by people with mental disorders is common. When individuals with mental...
The COVID-19 infection is the greatest danger to humankind right now because of the devastation it c...
Traditional grain size determination in materials characterization involves microscopy images and a ...