Medical Image Analysis

Coarse-to-fine feature representation based on deformable partition attention for melanoma identification
We propose a novel and efficient coarse-to-fine neural network for melanomas and nevi identification, which adopt a divide and conquer idea to overcome unbalanced inter-class spacing, and then leverages a fine sub-network to tackle the challenges of arduous training and unfavorable classification accuracy.
Dong Zhang, Jing Yang, Shaoyi Du*, HAN Hongcheng, Yuyan Ge, Longfei Zhu, Ce Li, Meifeng Xu, Nanning Zheng*
Cite Source Document DOI
Multimodal orthodontic corpus construction based on semantic tag classification method
This paper proposes a new method for constructing a multimodal orthodontic corpus to tackle the situation that only using patients’ …
Yuping Lin, Yuting Chi, HAN Hongcheng, Mengqi Han, Yucheng Guo
Cite Source Document DOI
Precise Dental Staging Method through Panoramic Radiographs Based on Deep Learning
In this paper, we use a deep learning method to realize automatic dental staging, which is an image classification task. Sample imbalance is found to influence the staging accuracy of deep learning method. Aiming at the problem, an optimized method for dental staging is proposed.
HAN Hongcheng, Shaoyi Du*, Dong Zhang, Hong Long, Yucheng Guo
PDF Cite Source Document DOI
Precise Dental Staging Method through Panoramic Radiographs Based on Deep Learning