Y
Yuanjie Zheng
Researcher at Shandong Normal University
Publications - 309
Citations - 9355
Yuanjie Zheng is an academic researcher from Shandong Normal University. The author has contributed to research in topics: Image segmentation & Computer science. The author has an hindex of 29, co-authored 271 publications receiving 6467 citations. Previous affiliations of Yuanjie Zheng include Chinese Academy of Sciences & University of Delaware.
Papers
More filters
Journal ArticleDOI
N4ITK: Improved N3 Bias Correction
Nicholas J. Tustison,Brian B. Avants,Philip A. Cook,Yuanjie Zheng,A Egan,Paul A. Yushkevich,James C. Gee +6 more
TL;DR: A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is proposed for bias field correction with the substitution of a recently developed fast and robust B-spline approximation routine and a modified hierarchical optimization scheme for improved bias field Correction over the original N3 algorithm.
Journal ArticleDOI
Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.
TL;DR: The structured deep learning model used in this study has achieved remarkable performance on a large-scale dataset, which demonstrates the strength of the method in providing an efficient tool for breast cancer multi-classification in clinical settings.
Journal ArticleDOI
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning
TL;DR: A supervised method based on feature and ensemble learning is presented to tackle the problem of retinal blood vessel segmentation, which combines two superior classifiers: Convolutional Neural Network and Random Forest.
Proceedings ArticleDOI
Learning based digital matting
TL;DR: This work casts some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning, and produces two approaches that can outperform many recent matting methods.
Journal ArticleDOI
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge
Prasanna Porwal,Prasanna Porwal,Samiksha Pachade,Manesh Kokare,Girish Deshmukh,Jaemin Son,Woong Bae,Lihong Liu,Jianzong Wang,Xinhui Liu,Liangxin Gao,Tian Bo Wu,Jing Xiao,Fengyan Wang,Baocai Yin,Yunzhi Wang,Gopichandh Danala,Linsheng He,Yoon-Ho Choi,Yeong Chan Lee,Sang Hyuk Jung,Zhongyu Li,Xiaodan Sui,Junyan Wu,Xiaolong Li,Ting Zhou,Janos Toth,Agnes Baran,Avinash Kori,Sai Saketh Chennamsetty,Mohammed Safwan,Varghese Alex,Xingzheng Lyu,Li Cheng,Qinhao Chu,Pengcheng Li,Xin Ji,Sanyuan Zhang,Shen Yaxin,Ling Dai,Oindrila Saha,Rachana Sathish,Tânia Melo,Teresa Araújo,Balazs Harangi,Bin Sheng,Ruogu Fang,Debdoot Sheet,Andras Hajdu,Yuanjie Zheng,Ana Maria Mendonça,Shaoting Zhang,Aurélio Campilho,Bin Zheng,Dinggang Shen,Luca Giancardo,Gwenole Quellec,Fabrice Meriaudeau +57 more
TL;DR: The set-up and results of this challenge that is primarily based on Indian Diabetic Retinopathy Image Dataset (IDRiD), which received a positive response from the scientific community, have the potential to enable new developments in retinal image analysis and image-based DR screening in particular.