2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification
Shuang Ge, Kehong Yuan, Maokun Han +3
Artificial intelligence(AI)-assisted method had received much attention in the risk field such as disease diagnosis. Different from the classification of disease types, it is a fin…
AI assisted method for efficiently generating breast ultrasound screening reports
Shuang Ge, Qiongyu Ye, Wenquan Xie +4
Background: Ultrasound is one of the preferred choices for early screening of dense breast cancer. Clinically, doctors have to manually write the screening report which is time-con…
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…