A5020370226- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- AI in cancer detection
- Advanced Neural Network Applications
- Medical Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Medical Image Segmentation Techniques
- Artificial Intelligence in Healthcare and Education
Nanchang Hangkong University
2021-2024
Lung nodule classification plays an important role in diagnosis of lung cancer which is essential to patients' survival. However, because the number CT images current dataset relatively small and ratio samples non-nodule usually very different, this makes training neural networks difficult poor performance networks. Hence, LDNNET proposed, adopts Dense-Block, batch normalization (BN) dropout cope with these problems. Meanwhile, adaptive architecture based on convnets combining softmax...
Medical image segmentation based on deep learning has become a powerful tool in the field of medical processing. Due to special nature images, algorithms face problems such as sample imbalance, edge blur, false positive, negative, etc. In view these problems, researchers mostly improve network structure, but rarely from unstructured aspect. The loss function is an important part method learning. improvement can effect root, and independent which be used various models tasks plug play....