Min Dong

According to our database, Min Dong authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

High Accuracy Microcalcifications Detection of Breast Cancer Using Wiener LTI Tophat Model.

Razia Jamil, Min Dong, Javed Rashid, Mamyrbayev Orken, Zhumagulova Sholpan Pernebaykyzy, Momynzhanova Kymbat Ragytovna

IEEE Access, 2024

2022

A new multiscale texture surface defect detection method based on convolutional neural network.

Kaixiang Li, Min Dong, Dezhen Li

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2019

Attention Dense-U-Net for Automatic Breast Mass Segmentation in Digital Mammogram.

Shuyi Li, Min Dong, Guangming Du, Xiaomin Mu

IEEE Access, 2019

Self-Quotient Image based CNN: A Basic Image Processing assisting Convolutional Neural Network.

Xingrun Xing, Min Dong, Cheng Bi, Lin Yang

Proceedings of the 2019 3rd International Conference on Digital Signal Processing, 2019

2017

Classification of Region of Interest in Mammograms Using Dual Contourlet Transform and Improved KNN.

Min Dong, Zhe Wang, Chenghui Dong, Xiaomin Mu, Yide Ma

J. Sensors, 2017

2016

A new adaptive filtering method for removing salt and pepper noise based on multilayered PCNN.

Xiangyu Deng, Yide Ma, Min Dong

Pattern Recognit. Lett., 2016

A new method of micro-calcifications detection in digitized mammograms based on improved simplified PCNN.

Zhen Yang, Min Dong, Ya'nan Guo, Xiaoli Gao, Keju Wang, Bin Shi, Yide Ma

Neurocomputing, 2016

A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNN.

Yanan Guo, Min Dong, Zhen Yang, Xiaoli Gao, Keju Wang, Chongfan Luo, Yide Ma, Jiuwen Zhang

Comput. Methods Programs Biomed., 2016

An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images.

Yurun Ma, Li Wang, Yide Ma, Min Dong, Shiqiang Du, Xiaoguang Sun

Int. J. Comput. Assist. Radiol. Surg., 2016

Nonlinear Local Transformation Based Mammographic Image Enhancement.

Cuiping Ding, Min Dong, Hongjuan Zhang, Yide Ma, Yaping Yan, Reyer Zwiggelaar

Proceedings of the Breast Imaging, 2016

An Effective Approach for Automatic LV Segmentation Based on GMM and ASM.

Yurun Ma, Deyuan Wang, Yide Ma, Ruoming Lei, Min Dong, Kemin Wang, Li Wang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Image denoising via bivariate shrinkage function based on a new structure of dual contourlet transform.

Min Dong, Jiuwen Zhang, Yide Ma

Signal Process., 2015

An Efficient Approach for Automated Mass Segmentation and Classification in Mammograms.

Min Dong, Xiangyu Lu, Yide Ma, Yanan Guo, Yurun Ma, Keju Wang

J. Digit. Imaging, 2015

A new study on mammographic image denoising using multiresolution techniques.

Min Dong, Ya-Nan Guo, Yide Ma, Yurun Ma, Xiangyu Lu, Keju Wang

Proceedings of the Eighth International Conference on Machine Vision, 2015