126 citations · 130 across the 5 of their papers we have counts for
5 papers
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
Chuni Liu, Boyuan Ma, Xiaojuan Ban +5
Topological consistency plays a crucial role in the task of boundary segmentation for reticular images, such as cell membrane segmentation in neuron electron microscopic images, gr…
Data privacy protection in microscopic image analysis for material data mining
Boyuan Ma, Xiang Yin, Xiaojuan Ban +4
Recent progress in material data mining has been driven by high-capacity models trained on large datasets. However, collecting experimental data has been extremely costly owing to…
End-to-End Learning for Simultaneously Generating Decision Map and Multi-Focus Image Fusion Result
Boyuan Ma, Xiang Yin, Di Wu +1
The general aim of multi-focus image fusion is to gather focused regions of different images to generate a unique all-in-focus fused image. Deep learning based methods become the m…
Boundary Learning by Using Weighted Propagation in Convolution Network
Wei Liu, Jiahao Chen, Chuni Liu +5
In material science, image segmentation is of great significance for quantitative analysis of microstructures. Here, we propose a novel Weighted Propagation Convolution Neural Netw…
Data augmentation in microscopic images for material data mining
Boyuan Ma, Xiaoyan Wei, Chuni Liu +10
Recent progress in material data mining has been driven by high-capacity models trained on large datasets. However, collecting experimental data (real data) has been extremely cost…