R
RongFeng Dong
Researcher at University of Electronic Science and Technology of China
Publications - 4
Citations - 72
RongFeng Dong is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Segmentation & Deep learning. The author has an hindex of 3, co-authored 4 publications receiving 57 citations.
Papers
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Proceedings ArticleDOI
A deep learning-based segmentation method for brain tumor in MR images
TL;DR: A novel and new coarse-to-fine method is proposed to segment the brain tumor using a hierarchical framework that consists of preprocessing, deep learning network based classification and post-processing.
Journal ArticleDOI
Multi-modal brain tumor image segmentation based on SDAE
TL;DR: It can be proven that the proposed method for segmenting brain tumor images from multi‐modal magnetic resonance imaging volumes based on stacked de‐noising auto‐encoders (SDAEs) obtains the better performance than other state‐of‐the‐art counterpart methods.
Patent
Brain parenchyma segmentation realization based on improved threshold segmentation algorithm
Yv Yue,Xiao Zhe,Qin Zhiguang,Yang Xiaoming,Lan Tian,Chen Yuan,RongFeng Dong,Ding Yi,Wang Fei,Chen Hao +9 more
TL;DR: In this paper, an improved threshold segmentation algorithm was used for the segmentation of grey and white matter of a brain image, which is good for auxiliary diagnosis of brain atrophy.
A deep learning-based segmentation method for brain tumor in MR images
TL;DR: In this paper, a coarse-to-fine method is proposed to segment the brain tumor using a hierarchical framework consisting of preprocessing, deep learning network based classification and post-processing.