3 papers
eess.IV2024
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…
cs.CV2022
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…
eess.IV2021
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…