Characterization of Breast Tissues using Texture Analysis
Normal Breast Tissues and Hamartoma
The identification of normal breast tissues in mammograms is an important step in identifying abnormal tissues, or masses. The major focus of this study is to use image-processing techniques to characterize the normal breast tissues. Clustering techniques have been developed to classify the breast tissue into one of 5 different tissue types including fat, glandular, connective, dense tissues and pectoral muscle. The classification was achieved by using a novel technique (dSGLD) involving a subset of the elements (the values on the diagonals) in the Spatial Grey Level Dependence (SGLD) matrix which was calculated using texture features. The ul…
Mehr
CHF 92.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V105:
Folgt in ca. 15 Arbeitstagen
Produktdetails
Weitere Autoren: Alport, Michael / Rae, William
- ISBN: 978-3-8454-3566-4
- EAN: 9783845435664
- Produktnummer: 37679514
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 180 S.
- Masse: H22.0 cm x B15.0 cm x D1.1 cm 286 g
- Abbildungen: Paperback
- Gewicht: 286
Über den Autor
The Author born in 1965-Sudan, joined the University studies at Sudan University of Science and Technology, College of Medical Radiologic Sience and graduated in 1998 with B. Sc. degree in Radiation Therapy, and awarded M.Sc. in Radiation Therapy in 2000 SUST and Awarded Ph.D. in Medical Physics 2007-Natal University-South Africa.
1 weiteres Werk von Mohamed Gar-Elnabi:
Bewertungen
Anmelden