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Min Dong 0003
Person information
- affiliation: Zhengzhou University, Zhengzhou, China
Other persons with the same name
- Min Dong — disambiguation page
- Min Dong 0001
— Ontario Tech University, Oshawa, ON, Canada
- Min Dong 0002
— South China University of Technology, Guangzhou, China
- Min Dong 0004
— Nanjing University of Aeronautics and Astronautics Jincheng College, Nanjing, China
- Min Dong 0005
— Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, Nanjing, China
- Min Dong 0006 — Wuhan University of Science and Engineering, Wuhan, China
- Min Dong 0007 — Shanghai University, School of Communication and Information Engineering, Shanghai, China
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Journal Articles
- 2019
- [j8]Shuyi Li, Min Dong
, Guangming Du, Xiaomin Mu:
Attention Dense-U-Net for Automatic Breast Mass Segmentation in Digital Mammogram. IEEE Access 7: 59037-59047 (2019) - 2017
- [j7]Min Dong
, Zhe Wang, Chenghui Dong, Xiaomin Mu, Yide Ma:
Classification of Region of Interest in Mammograms Using Dual Contourlet Transform and Improved KNN. J. Sensors 2017: 3213680:1-3213680:15 (2017) - 2016
- [j6]Yurun Ma, Li Wang, Yide Ma, Min Dong, Shiqiang Du, Xiaoguang Sun:
An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images. Int. J. Comput. Assist. Radiol. Surg. 11(11): 1951-1964 (2016) - [j5]Yanan Guo, Min Dong, Zhen Yang, Xiaoli Gao, Keju Wang, Chongfan Luo, Yide Ma, Jiuwen Zhang:
A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNN. Comput. Methods Programs Biomed. 130: 31-45 (2016) - [j4]Zhen Yang, Min Dong, Ya'nan Guo, Xiaoli Gao, Keju Wang, Bin Shi, Yide Ma:
A new method of micro-calcifications detection in digitized mammograms based on improved simplified PCNN. Neurocomputing 218: 79-90 (2016) - [j3]Xiangyu Deng, Yide Ma, Min Dong:
A new adaptive filtering method for removing salt and pepper noise based on multilayered PCNN. Pattern Recognit. Lett. 79: 8-17 (2016) - 2015
- [j2]Min Dong, Xiangyu Lu, Yide Ma, Yanan Guo, Yurun Ma, Keju Wang:
An Efficient Approach for Automated Mass Segmentation and Classification in Mammograms. J. Digit. Imaging 28(5): 613-625 (2015) - [j1]Min Dong, Jiuwen Zhang, Yide Ma:
Image denoising via bivariate shrinkage function based on a new structure of dual contourlet transform. Signal Process. 109: 25-37 (2015)
Conference and Workshop Papers
- 2022
- [c5]Kaixiang Li, Min Dong, Dezhen Li:
A new multiscale texture surface defect detection method based on convolutional neural network. ICTAI 2022: 1296-1300 - 2019
- [c4]Xingrun Xing, Min Dong, Cheng Bi, Lin Yang:
Self-Quotient Image based CNN: A Basic Image Processing assisting Convolutional Neural Network. ICDSP 2019: 17-21 - 2016
- [c3]Yurun Ma, Deyuan Wang, Yide Ma, Ruoming Lei, Min Dong, Kemin Wang, Li Wang:
An Effective Approach for Automatic LV Segmentation Based on GMM and ASM. ICONIP (2) 2016: 663-672 - [c2]Cuiping Ding, Min Dong, Hongjuan Zhang, Yide Ma, Yaping Yan, Reyer Zwiggelaar:
Nonlinear Local Transformation Based Mammographic Image Enhancement. Digital Mammography / IWDM 2016: 167-173 - 2015
- [c1]Min Dong, Ya-Nan Guo, Yide Ma, Yurun Ma, Xiangyu Lu, Keju Wang:
A new study on mammographic image denoising using multiresolution techniques. ICMV 2015: 987518
Coauthor Index
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