Name
Abstract | ||
|---|---|---|
This paper presents a novel approach for detection of suspicious regions in digitized mammograms. The edges of the suspicious
region in mammogram are enhanced using an improved logic filter. The result of further image processing gives a gray-level
histogram with distinguished characteristics, which facilitates the segmentation of the suspicious masses. The experiment
results based on 25 digital sample mammograms, which are definitely diagnosed, are analyzed and evaluated briefly. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/BF02948847 | Journal of Computer Science and Technology |
Keywords | Field | DocType |
logic filter,tumor detection,image processing for mammo- grams,mammogram diagnosis | Computer vision,Histogram,Computer science,Segmentation,Image processing,Artificial intelligence | Journal |
Volume | Issue | ISSN |
15 | 6 | 1860-4749 |
Citations | PageRank | References |
4 | 0.49 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Rocha | 1 | 4 | 0.49 |
| Tong Fu | 2 | 20 | 1.89 |
| Zhuang-zhi Yan | 3 | 14 | 8.28 |