Latest AI and machine learning research in critical care for healthcare professionals.
Commonly used nested entity recognition methods are span-based entity recognition methods, which foc...
BACKGROUND: Accurate and automated brain tumor segmentation from multi-modality MR images plays a si...
As an epidemic, COVID-19's core test instrument still has serious flaws. To improve the present cond...
Person re-identification is essential to intelligent video analytics, whose results affect downstrea...
In recent years, image segmentation based on deep learning has been widely used in medical imaging, ...
The detection and classification of nuclei play an important role in the histopathological analysis....
The use of multi-connectivity has become a useful tool to manage the traffic in heterogeneous cellul...
Wi-Fi-based human activity recognition has attracted broad attention for its advantages, which inclu...
In recent years, emotion recognition based on electroencephalography (EEG) has received growing inte...
Interstitial lung disease (ILD), representing a collection of disorders, is considered to be the dea...
Auscultation plays an important role in the clinic, and the research community has been exploring ma...
Signal detection is one of the most critical and challenging issues in ambient backscatter communica...
Recent advances in both lightweight deep learning algorithms and edge computing increasingly enable ...
Among the IL-6 inhibitors, tocilizumab is the most widely used therapeutic option in patients with S...
As an effective approach to perceive environments, acoustic scene classification (ASC) has received ...
Sleep is one of the most important human physiological activities, and plays an essential role in hu...
Early detection and treatment of retinal disorders are critical for avoiding irreversible visual imp...
Deep learning techniques and algorithms are emerging as a disruptive technology with the potential t...
Sepsis is a systemic inflammatory response caused by pathogens such as bacteria. Because its pathoge...
The development of activity recognition based on multi-modal data makes it possible to reduce human ...
The automated analysis of electrocardiogram (ECG) signals plays a crucial role in the early diagnosi...