Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
We derive the fast convergence rates of a deep neural network (DNN) classifier with the rectified li...
Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of ...
The 4SPRR-SPR parallel robot, which has considerable potential for application in the field of machi...
The spiculation sign is one of the main signs to distinguish benign and malignant pulmonary nodules....
OBJECTIVE: Accurate bladder size estimation is an important clinical parameter that assists physicia...
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...
BACKGROUND: Revisiting professionalism, both as a medical ideal and educational topic, this paper as...
Within artificial intelligence and machine learning, a generative model is a powerful tool for learn...
Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical c...
Tracking the myotendinous junction (MTJ) in consecutive ultrasound images is crucial for understandi...
BACKGROUND: Clinical named entity recognition is the basic task of mining electronic medical records...
Industrial Internet of Things (IIoT) ensures reliable and efficient data exchanges among the industr...
Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and...
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...