Mammographic density classification using multiresolution histogram technique

Izzati Muhimmah, Erika R. E. Denton, Reyer Zwiggelaar

Research output: Contribution to journalArticlepeer-review

Abstract

Mammographic density is known to be an important indicator of breast cancer risk. Some quantitative estimation approaches have been developed and among of them based on histogram measurement. We implemented multi-resolution histogram technique to classify density of mammographic images. The results showed an agreement of 38,33% (78:33% when minor classification was allowed) compare to an expert radiologist rating using SCC given in EPIC database. This agreement is lower than the existing methods, and some limitations are discussed
Original languageEnglish
Pages (from-to)20-23
Number of pages4
JournalProceedings Information and Communication Technology Seminar (Surabaya)
Volume1
Issue number1
Publication statusPublished - 01 Aug 2005

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