2 citations · 5 across the 6 of their papers we have counts for
6 papers
Diagnosis Assistant for Liver Cancer Utilizing a Large Language Model with Three Types of Knowledge
Xuzhou Wu, Guangxin Li, Xing Wang +6
Liver cancer has a high incidence rate, but primary healthcare settings often lack experienced doctors. Advances in large models and AI technologies offer potential assistance. Thi…
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements
Shuge Lei
Medical image segmentation, particularly in the context of ultrasound data, is a crucial aspect of computer vision and medical imaging. This paper delves into the complexities of u…
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification
Shuge Lei, Haonan Hu, Dasheng Sun +5
This paper focuses on the classification task of breast ultrasound images and researches on the reliability measurement of classification results. We proposed a dual-channel evalua…
On Safe and Usable Chatbots for Promoting Voter Participation
Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju +5
Chatbots, or bots for short, are multi-modal collaborative assistants that can help people complete useful tasks. Usually, when chatbots are referenced in connection with elections…
Knowledge AI: New Medical AI Solution for Medical image Diagnosis
Yingni Wang, Shuge Lei, Jian Dai +1
The implementation of medical AI has always been a problem. The effect of traditional perceptual AI algorithm in medical image processing needs to be improved. Here we propose a me…
More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination
Jian Dai, Shuge Lei, Licong Dong +4
Objective: Breast cancer screening is of great significance in contemporary women's health prevention. The existing machines embedded in the AI system do not reach the accuracy tha…