Synopsis of recent research by authors named "Chengbao Peng"
- Chengbao Peng's research focuses on advancing the applications of artificial intelligence in medical imaging, particularly in distinguishing between different diseases using chest computed tomography (CT) and coronary computed tomography angiography (CCTA) images
- A notable study published in 2024 demonstrates that supervised AI training models, with or without manual lesion delineation, surpass clinicians in accurately differentiating pulmonary cryptococcosis from lung adenocarcinoma, highlighting the potential of AI in diagnostic accuracy
- Another study from 2023 introduces a novel Dual-Attention Coordination U-Net (DAC-UNet) for coronary artery segmentation in CCTA images, aiming to enhance automated diagnostic processes for coronary heart disease, thereby supporting clinicians in more effective disease management
