| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 535210 | Pattern Recognition Letters | 2007 | 7 Pages |
Abstract
A multiresolution analysis system for interpreting digital mammograms is proposed and tested. This system is based on using fractional amount of biggest wavelets coefficients in multilevel decomposition. A set of real labeled database is used in evaluating the proposed system. The evaluation results show that the system has a remarkably high efficiency compared by other systems known till present especially in the area of distinguishing between benign and malignant tumors.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Essam A. Rashed, Ismail A. Ismail, Sherif I. Zaki,