35 citations · 80 across the 15 of their papers we have counts for
5 papers · 1 filter
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Hao Zheng, Yizhe Zhang, Lin Yang +4
3D image segmentation plays an important role in biomedical image analysis. Many 2D and 3D deep learning models have achieved state-of-the-art segmentation performance on 3D biomed…
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation
Zhuo Zhao, Lin Yang, Hao Zheng +3
Instance segmentation in 3D images is a fundamental task in biomedical image analysis. While deep learning models often work well for 2D instance segmentation, 3D instance segmenta…
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation
Lin Yang, Yizhe Zhang, Zhuo Zhao +5
In recent years, deep learning (DL) methods have become powerful tools for biomedical image segmentation. However, high annotation efforts and costs are commonly needed to acquire…
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
Xiaowei Xu, Qing Lu, Yu Hu +4
With pervasive applications of medical imaging in health-care, biomedical image segmentation plays a central role in quantitative analysis, clinical diagno- sis, and medical interv…
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs
Peixian Liang, Jianxu Chen, Pavel A. Brodskiy +6
Wing disc pouches of fruit flies are a powerful genetic model for studying physiological intercellular calcium () signals for dynamic analysis of cell signaling in organ d…