Conference
Analysis of the Contribution of Scale in Mammographic Mass Classification
| Τίτλος: | Analysis of the Contribution of Scale in Mammographic Mass Classification |
|---|---|
| Συγγραφείς: | Bruce, Lori M., Kalluri, Ravikiran |
| Πηγή: | Electrical & Computer Engineering Faculty Research |
| Στοιχεία εκδότη: | UNLV's Repository for Research, Scholarship, and Creative Activity |
| Έτος έκδοσης: | 1997 |
| Συλλογή: | University of Nevada, Las Vegas: Digital Scholarship@UNLV |
| Θεματικοί όροι: | Classification--Computer programs, Diagnostic imaging, Image analysis, Image processing, Wavelets (Mathematics), Bioimaging and Biomedical Optics, Biomedical Engineering and Bioengineering, Electrical and Computer Engineering, Engineering, Systems and Communications |
| Περιγραφή: | Mammographic masses are often classified according to their shape as round, nodular or stellate. These classifications are useful in the recognition of benign vs. malignant masses. In this preliminary study, a set of 30 mammograms are analyzed. The 2D shape contour of each mass is mapped to a 1D radial distance measure. The discrete wavelet transform is applied to each measure in which a full decomposition is computed. The root-mean-square of the coefficients in each scale is then computed. These values are used as input features in a statistical classification system. The discriminating powers of these features are analyzed via linear discriminant analysis. The classification system utilizes a conventional Euclidean distance measure to determine class membership. The classification rates are 87%, 93% and 80% when using Haar, Daubechies-3 and Daubechies-5 wavelets, respectively |
| Τύπος εγγράφου: | conference object |
| Γλώσσα: | English |
| Relation: | https://oasis.library.unlv.edu/ece_fac_articles/470 |
| Διαθεσιμότητα: | https://oasis.library.unlv.edu/ece_fac_articles/470 |
| Αριθμός Καταχώρησης: | edsbas.3A83B193 |
| Βάση Δεδομένων: | BASE |
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