Jirari Mohammed (4 results)
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. COMPUTER AIDED SYSTEM FOR DETECTING MASSES IN MAMMOGRAMS | A Two System Development Study | Mohammed Jirari | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639123456 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de |… Anbieter: preigu.
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Softcover
- Print on Demand
Seller: moluna, Greven, , Germanymoluna
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jirari MohammedMohammed Jirari has received a B.S. in Computer Science with a nminor in Mathematics from Edinboro University of Pennsylvania, a nM.S. in Computer Science from La…mar University and a Ph.D. in nComputer Science from Ken.
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 extrac…tion 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.
