Fusion of local and global features for classification of abnormality in mammograms

DOI10.1007/S12046-016-0482-YzbMath1360.94045OpenAlexW2343805252WikidataQ126588614 ScholiaQ126588614MaRDI QIDQ524203

Priti P. Rege, Anuradha C. Phadke

Publication date: 2 May 2017

Published in: Sādhanā (Search for Journal in Brave)

Full work available at URL: https://www.ias.ac.in/describe/article/sadh/041/04/0385-0395

zbMATH Keywords

fractal dimensionGabor transformSVMGLCMLaws texture featuresmammogram

Mathematics Subject Classification ID

Medical applications (general) (92C50) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• A novel approach for classification of abnormalities in digitized mammograms

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