Computer Aided System For Detecting Masses In Mammograms: A Two System Development Study
Jirari, Mohammed; Jirari, Mohammed
ISBN 10: 363912345X ISBN 13: 9783639123456
Published by Vdm Verlag Dr. Müller, 2009
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Paperback
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Revaluation Books, Exeter, United Kingdom
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144 pages. 8.66x5.91x0.33 inches. In Stock. Seller Inventory # 363912345X
Synopsis:
An intelligent CAD can be very helpful in detecting masses in the breast earlier and faster than typical screening programs. Two such systems are presented, First a system based on Radial Basis neural networks coupled with feature extraction techniques for detecting masses in mammograms. Suspicious regions are identified following a run of the trained neural network. Co-occurrence matrices are constructed at different distances for each mammogram. Statistical features are used to train and test the Radial Basis neural network. The second system presented was developed based on linear subtraction and feature extraction techniques to identify asymmetries between left and right breast mammograms. This system is based on the idea that a deviation from the normal architectural symmetry of the right and left breasts could indicate a cancerous mass. The results show that both systems could be helpful to the radiologist by serving as a second reader in mammography screening.
About the Author: Mohammed Jirari has received a B.S. in Computer Science with a minor in Mathematics from Edinboro University of Pennsylvania, a M.S. in Computer Science from Lamar University and a Ph.D. in Computer Science from Kent State University.
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Bibliographic Details
Title: Computer Aided System For Detecting Masses ...
Publisher: Vdm Verlag Dr. Müller
Publication Date: 2009
Binding: Paperback
Condition: Brand New