51 citations · 128 across the 22 of their papers we have counts for
4 papers · 1 filter
Coarse-to-fine Kidney Segmentation Framework Incorporating with Abnormal Detection and Correction
Yue Zhang, Jiong Wu, Yu Zhou +2
In this paper, we formulated the kidney segmentation task in a coarse-to-fine fashion, predicting a coarse label based on the entire CT image and a fine label based on the coarse s…
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
Pengyi Zhang, Yunxin Zhong, Yulin Deng +2
The success of deep learning has been witnessed as a promising technique for computer-aided biomedical image analysis, due to end-to-end learning framework and availability of larg…
Prostate segmentation using Z-net
Yue Zhang, Jiong Wu, Wanli Chen +2
In this paper, we proposed a novel architecture of convolutional neural network (CNN), namely Z-net, for segmenting prostate from magnetic resonance images (MRIs). In the proposed…
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles
Jiong Wu, Xiaoying Tang
In this study, we proposed and validated a multi-atlas guided 3D fully convolutional network (FCN) ensemble model (M-FCN) for segmenting brain regions of interest (ROIs) from struc…