Yan Zuo

Work place: College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China

E-mail: yzuo@hdu.edu.cn


Research Interests:


Yan Zuo was born in 1980. She received the Ph.D degree in control theory and control engineering from Shanghai Jiao Tong University, Shanghai, China, in 2007. She has been an Associate professor of College of automation of Hangzhou Dianzi University since 2009. 

Author Articles
A New Diagnosis Loseless Compression Method for Digital Mammography Based on Multiple Arbitrary Shape ROIs Coding Framework

By Ping Xu Yan Zuo Wei-Dong Xu Hua-Jie Chen

DOI: https://doi.org/10.5815/ijmecs.2011.05.05, Pub. Date: 8 Oct. 2011

With the rapidly growing use of digital images in medical archival and communication, image compression technology, especially diagnosis lossless compression technology, plays a more and more important role for medical applications. In this thesis, a novel diagnosis loseless compression algorithm is presented for digital mammography. The mammogram is divided into breast region, pectoral muscle and background using the CAD technology. Then mutiple arbitrary shape ROIs coding framework is used to compress the mammogram in which the breast region and pectoral muscle are compressed losslessly and lossily respectively, and the background can be discarded or compressed lossily as user’s will. Experimental results show that the proposed method offer potential advantage in medical applications of digital mammography compression.

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