Classification of Clustered Microcalcifications using MLFFBP-ANN and SVM-Reference-Cited by-同舟云学术

Classification of Clustered Microcalcifications using MLFFBP-ANN and SVM

Published:2016-03 Issue:1 Volume:17 Page:11-20
ISSN:1110-8665
Container-title:Egyptian Informatics Journal
language:en
Short-container-title:Egyptian Informatics Journal

Author:

Khehra Baljit Singh,Pharwaha Amar Partap Singh

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems

Reference39 articles.

1. Fuzzy rough sets hybrid scheme for breast cancer detection;Hassanien;Image Vis Comput,2007

2. Image segmentation features selection and pattern classification for mammographic microcalcifications;Fu;Comput Med Imag Graph,2005

3. Kramer D, Aghdasi F. Classifications of microcalcifications in digitized mammograms using multiscale statistical texture analysis. In: Proc. South African symposium on communications and signal processing (COMSIG-98), Rondebosch, South African, 7–8 Sep.; 1998. p. 121–6.

4. Classifying mammographic mass shapes using the wavelet transform modulus-maxima method;Bruce;IEEE Trans Med Imag,1999

5. Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms;Bottema;Pattern Recogn Lett,2000

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