16 citations · 29 across the 8 of their papers we have counts for
4 papers · 1 filter
CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation
Suraj Mishra, Peixian Liang, Adam Czajka +2
Convolutional neural networks (CNNs) for biomedical image analysis are often of very large size, resulting in high memory requirement and high latency of operations. Searching for…
A mixed signal architecture for convolutional neural networks
Qiuwen Lou, Chenyun Pan, John McGuiness +4
Deep neural network (DNN) accelerators with improved energy and delay are desirable for meeting the requirements of hardware targeted for IoT and edge computing systems. Convolutio…
DAC-SDC Low Power Object Detection Challenge for UAV Applications
Xiaowei Xu, Xinyi Zhang, Bei Yu +4
The 55th Design Automation Conference (DAC) held its first System Design Contest (SDC) in 2018. SDC'18 features a lower power object detection challenge (LPODC) on designing and im…
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…