Λεπτομέρειες βιβλιογραφικής εγγραφής
| 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 |