M
Meiping Huang
Researcher at Guangdong General Hospital
Publications - 30
Citations - 267
Meiping Huang is an academic researcher from Guangdong General Hospital. The author has contributed to research in topics: Segmentation & Computer science. The author has an hindex of 8, co-authored 22 publications receiving 174 citations. Previous affiliations of Meiping Huang include Academy of Medical Sciences, United Kingdom.
Papers
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Book ChapterDOI
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching
TL;DR: Experimental results show that the proposed framework can increase Dice score by 12% on average compared with the state-of-the-art whole heart and great vessel segmentation method in normal anatomy and the dataset is released to the public.
Book ChapterDOI
MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation.
Tianchen Wang,Jinjun Xiong,Xiaowei Xu,Meng Jiang,Haiyun Yuan,Meiping Huang,Jian Zhuang,Yiyu Shi +7 more
TL;DR: Multiscale Statistical U-Net (MSU-Net) is proposed for real-time 3D MRI video segmentation in cardiac surgical guidance to model the input samples as multiscale canonical form distributions for speedup, while the spatio-temporal correlation is still fully utilized.
Posted Content
MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation.
Tianchen Wang,Jinjun Xiong,Xiaowei Xu,Meng Jiang,Yiyu Shi,Haiyun Yuan,Meiping Huang,Jian Zhuang +7 more
TL;DR: Wang et al. as discussed by the authors proposed multiscale statistical U-Net (MSU-Net) for real-time 3D MRI video segmentation in cardiac surgical guidance, where the input samples are modeled as multiscales canonical form distributions for speedup, while the spatio-temporal correlation is still fully utilized.
Proceedings ArticleDOI
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Zihao Liu,Jian Zhuang,Xiaowei Xu,Tao Liu,Qi Liu,Yanzhi Wang,Yiyu Shi,Wujie Wen,Meiping Huang,Haiyun Yuan +9 more
TL;DR: In this article, a machine vision oriented 3D image compression framework tailored for segmentation using DNNs is proposed, which automatically extracts and retains image features that are most important to the segmentation.
Posted Content
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Zihao Liu,Xiaowei Xu,Tao Liu,Qi Liu,Yanzhi Wang,Yiyu Shi,Wujie Wen,Meiping Huang,Haiyun Yuan,Jian Zhuang +9 more
TL;DR: Comprehensive experiments on widely adopted segmentation frameworks with HVSMR 2016 challenge dataset show that this method can achieve significantly higher segmentation accuracy at the same compression rate, or much better compression rate under the same segmentation accuracies, when compared with the existing JPEG 2000 method.