Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

CVPR 2018 Xiaowei XuQing LuYu HuLin YangSharon HuDanny ChenYiyu Shi

With pervasive applications of medical imaging in health-care, biomedical image segmentation plays a central role in quantitative analysis, clinical diagno- sis, and medical intervention. Since manual anno- tation su ers limited reproducibility, arduous e orts, and excessive time, automatic segmentation is desired to process increasingly larger scale histopathological data... (read more)

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