399 citations · 427 across the 15 of their papers we have counts for
9 papers · 1 filter
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…
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…
Deformable Registration Using Average Geometric Transformations for Brain MR Images
Yongpei Zhu, Zicong Zhou, Guojun Liao +1
Accurate registration of medical images is vital for doctor's diagnosis and quantitative analysis. In this paper, we propose a new deformable medical image registration method base…
Facial Expression Recognition Research Based on Deep Learning
Yongpei Zhu, Hongwei Fan, Kehong Yuan
With the development of deep learning, the structure of convolution neural network is becoming more and more complex and the performance of object recognition is getting better. Ho…
Medical Image Super-Resolution Using a Generative Adversarial Network
Yongpei Zhu, Xuesheng Zhang, Kehong Yuan
During the growing popularity of electronic medical records, electronic medical record (EMR) data has exploded increasingly. It is very meaningful to retrieve high quality EMR in m…
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features
Yongpei Zhu, Zicong Zhou, Guojun Liao +2
Accurate segmentation of brain tissue in magnetic resonance images (MRI) is a diffcult task due to different types of brain abnormalities. Using information and features from multi…
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation
Yao Sun, Yang Deng, Yue Xu +3
Magnetic Resonance Imaging (MRI) is widely used in the pathological and functional studies of the brain, such as epilepsy, tumor diagnosis, etc. Automated accurate brain tissue seg…
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net
Yang Deng, Yao Sun, Yongpei Zhu +3
Accurate segmentation of MR brain tissue is a crucial step for diagnosis,surgical planning, and treatment of brain abnormalities. However,it is a time-consuming task to be performe…
DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation
Yang Deng, Yao Sun, Yongpei Zhu +3
Accurate segmentation of MR brain tissue is a crucial step for diagnosis, surgical planning, and treatment of brain abnormalities. Automatic and reliable segmenta-tion methods are…