A5089642645- COVID-19 diagnosis using AI
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- EEG and Brain-Computer Interfaces
- Brain Tumor Detection and Classification
- Medical Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Medical Image Segmentation Techniques
Xidian University
2021-2024
Early diagnosis of Alzheimer's disease (AD) is crucial for its prevention, and hippocampal atrophy a significant lesion early diagnosis. The current DL-based AD methods only focus on either classification or hippocampus segmentation independently, neglecting the correlation between two tasks lacking pathological interpretability. To address this issue, we propose Reliable Hippo-guided Learning model Disease (RLAD), which employs multi-task learning as main task supplemented by segmentation....
The astounding success made by artificial intelligence (AI) in healthcare and other fields proves that AI can achieve human-like performance. However, always comes with challenges. Deep learning algorithms are data-dependent require large datasets for training. lack of data the medical imaging field creates a bottleneck application deep to image analysis. Medical acquisition, annotation, analysis costly, their usage is constrained ethical restrictions. They also many resources, such as human...
In the past decade, deep learning (DL) has achieved unprecedented success in numerous fields including computer vision, natural language processing, and healthcare. particular, DL is experiencing an increasing development applications for advanced medical image analysis terms of analysis, segmentation, classification, furthermore. On one hand, tremendous needs that leverage power are arising from research community a medical, clinical, informatics background to jointly share their expertise,...
Lung cancer is a life-threatening disease and its diagnosis of great significance. Data scarcity unavailability datasets major bottleneck in lung research. In this paper, we introduce dataset pulmonary lesions for designing the computer-aided (CAD) systems. The has fine contour annotations nine attribute annotations. We define structure detail, then discuss relationship attributes pathology, correlation between with chi-square test. To demonstrate contribution our to system design, four...