Detection and classification of masses in mammograms using ICA
Detection and classification of masses in mammograms using ICA
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Author: A. GarcÃa-Manso
Number of Pages: 176 pages
Published Date: 23 Oct 2013
Publisher: LAP Lambert Academic Publishing
Publication Country: none
Language: English
ISBN: 9783659452048
File size: 37 Mb
File Name: Detection.and.classification.of.masses.in.mammograms.using.ICA.pdf
Download Link: Detection and classification of masses in mammograms using ICA
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This work is focused on the detection and classification of masses in mammograms. The masses are one of the main indicators of the existence of breast cancer, malignant or benign. For this, here has been developed a detection and classification system of masses in mammograms. This system consists of a set of artificial intelligence techniques such as feature extraction (Principal Component Analysis, PCA, and Independent Component Analysis, ICA) and pattern classification using neural networks (Multilayer Perceptron) and SVM classifiers. The detection and classification of lesions in mammograms is an extremely hard task because of the large variability that the lesions may have, despite being of the same type. In addition, there is the variability that the mammograms may present depending on the breast tissue predominant in the breast and its distribution. Often, this may cause that cancer might appear obscured, masked by the surrounding breast tissue which makes it very difficult to detect.
Read online Detection and classification of masses in mammograms using ICA Buy and read online Detection and classification of masses in mammograms using ICA Download and read Detection and classification of masses in mammograms using ICA for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Detection and classification of masses in mammograms using ICA ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
Detection and classification of masses in mammograms using ICA by A. GarcÃa-Manso
Author: A. GarcÃa-Manso
Number of Pages: 176 pages
Published Date: 23 Oct 2013
Publisher: LAP Lambert Academic Publishing
Publication Country: none
Language: English
ISBN: 9783659452048
File size: 37 Mb
File Name: Detection.and.classification.of.masses.in.mammograms.using.ICA.pdf
Download Link: Detection and classification of masses in mammograms using ICA
---------------------------------------------------------------
This work is focused on the detection and classification of masses in mammograms. The masses are one of the main indicators of the existence of breast cancer, malignant or benign. For this, here has been developed a detection and classification system of masses in mammograms. This system consists of a set of artificial intelligence techniques such as feature extraction (Principal Component Analysis, PCA, and Independent Component Analysis, ICA) and pattern classification using neural networks (Multilayer Perceptron) and SVM classifiers. The detection and classification of lesions in mammograms is an extremely hard task because of the large variability that the lesions may have, despite being of the same type. In addition, there is the variability that the mammograms may present depending on the breast tissue predominant in the breast and its distribution. Often, this may cause that cancer might appear obscured, masked by the surrounding breast tissue which makes it very difficult to detect.
Read online Detection and classification of masses in mammograms using ICA Buy and read online Detection and classification of masses in mammograms using ICA Download and read Detection and classification of masses in mammograms using ICA for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Detection and classification of masses in mammograms using ICA ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent