NDLI: Hybrid lossless compression of breast mammography

Content Provider	IEEE Xplore Digital Library
Author	Tayel, M. Mohsen, A.
Copyright Year	2011
Description	Author affiliation: Dept. of Electrical Engineering, Faculty of Engineering, Alexandria University (Tayel, M.; Mohsen, A.)
Abstract	Breast cancer is one of the most common types of cancer in women worldwide and this is a disease can be most efficiently treated if detected at an early stage. To enable early detection a regular checkup need to be done and mammography here is considered as a key diagnosing tool. Country wide screening program is another way of early detection. These two early detection strategies need huge amount of storage to store mammograms. Lossless compression of mammograms will reduce storage capacity needed and at the same time will enable faster image transmission over WANs, especially with limited bandwidth networks. The proposed algorithm was tested using mammograms from the MIAS database and comparisons are made to the performance of previously published research efforts using same datasets from the Mammographic Image Analysis Society (MIAS) database to build on comparison done covering best in class image compression techniques.
Starting Page	273
Ending Page	277
File Size	332481
Page Count	5
File Format	PDF
ISBN	9781457719202
ISSN	21623562
e-ISBN	9781457719219
DOI	10.1109/SiPS.2011.6088988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-04
Publisher Place	Lebanon
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Breast Dictionaries Object recognition Prediction algorithms Transform coding Biomedical imaging Mammogram Compression
Content Type	Text
Resource Type	Article

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