1 citations · 1 across the 3 of their papers we have counts for
3 papers
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.IV2022★ 1 cited
MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement
Pingping Dai, Haiming Zhu, Shuang Ge +4
Most of the state-of-the-art semantic segmentation reported in recent years is based on fully supervised deep learning in the medical domain. How?ever, the high-quality annotated d…
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…