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 language | English |
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Pages (from-to) | 20-23 |
Number of pages | 4 |
Journal | Proceedings Information and Communication Technology Seminar (Surabaya) |
Volume | 1 |
Issue number | 1 |
Publication status | Published - 01 Aug 2005 |