A clinically validated 3D deep learning approach for quantifying vascular invasion in pancreatic cancer
Siegel, R. L., Kratzer, T. B., Giaquinto, A. N., Sung, H. & Jemal, A. Cancer statistics, 2025. CA Cancer J....
Approach
A deep learning-based meteorological factors forecast and dynamic risk assessment approach for built cultural heritage
With the advancement of information technology, it has become possible to investigate preventive conservation for built heritage using IoTs, big...
Reducing inequalities using an unbiased machine learning approach to identify births with the highest risk of preventable neonatal deaths | Population Health Metrics
ApproachIn this research, the unit of analysis is the individual birth. We aim to identify the births with the highest...
Enhanced multi objective graph learning approach for optimizing traffic speed prediction on spatial and temporal features
Experimental setupThe system specifications for this experiment include a hardware configuration of Intel Core i7-9700 K or AMD Ryzen 9 5900X...
A Two-Phase Learning Approach Integrated with Multi-Source Features for Cloud Service QoS Prediction
Newswise — With the growing popularity of service-oriented computing, a large number of functionally similar cloud services have emerged. Quality...
A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism
Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, AustriaStephan...
