- Infrastructure Maintenance and Monitoring
- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
- COVID-19 diagnosis using AI
- Machine Learning and Data Classification
- AI in cancer detection
Jining Medical University
2025
Abstract In recent years, computer technology has successfully permeated all areas of medicine and its management, it now offers doctors an accurate rapid means diagnosis. Existing blood cell detection methods suffer from low accuracy, which is caused by the uneven distribution, high density, mutual occlusion different types in microscope images, this article introduces NBCDC‐YOLOv8: a new framework to improve classification based on YOLOv8. Our innovates several fronts: uses Mosaic data...
The presence of label noise in the training data has a profound impact on generalization deep neural networks (DNNs). In this study, we introduce and theoretically demonstrate simple feature method, which directly adds to features data, can enhance DNNs under noise. Specifically, conduct theoretical analyses reveal that leads weakened DNN by loosening PAC-Bayes bound, results better imposing an upper bound mutual information between model weights features, constrains bound. Furthermore,...