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Combining Topological and Geometric Features of Mammograms to Detect Masses
| Content Provider | Semantic Scholar |
|---|---|
| Author | Byung-Woo Mellor, Matthew Soatto, Stefano Brady, Michael |
| Copyright Year | 2004 |
| Abstract | This paper presents a novel method for detecting masses in mammograms. Both topological (salience) and geometric (primarily texture) are used as features to characterise. Experimental results demonstrate that this combination of features is robust both for the segmentation and for the identification of masses. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.vision.ucla.edu/papers/hongMSB04.pdf |
| Alternate Webpage(s) | http://vision.ucla.edu/papers/hongMSB04.pdf |
| Alternate Webpage(s) | http://www.vision.cs.ucla.edu/papers/hongMSB04.pdf |
| Alternate Webpage(s) | http://www.cs.ucla.edu/~hong/publications/paper_MIUA04.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |