Breast cancer is the most common cancer in women worldwide. Computer-aided diagnosis (CAD) has been defined as a diagnosis made by a radiologist who uses the output of a computer analysis of the images when making his or her interpretation. In this Book, first a comparison between two image enhancement techniques is done to enhance the peripheral area of the breast region. Then a CAD system is developed for classifying abnormal lesions in mammograms to differentiate between normal regions and mass lesions. The obtained results show acceptable sensitivity and specificity for the system. After that a comparison between two pectoral muscle segmentation techniques is done. Finally we test the 2D auto-regressive modeling in classification of microcalcification.
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Mohamed Elmanna received his M.Sc. Degree in Biomedical Engineering from Cairo University, Egypt in 2014. He obtained his B.Sc. degree in Biomedical Engineering from Sudan University of Science and Technology, Sudan in 2009. His main research interests are medical image processing applications
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Breast cancer is the most common cancer in women worldwide. Computer-aided diagnosis (CAD) has been defined as a diagnosis made by a radiologist who uses the output of a computer analysis of the images when making his or her interpretation. In this Book, first a comparison between two image enhancement techniques is done to enhance the peripheral area of the breast region. Then a CAD system is developed for classifying abnormal lesions in mammograms to differentiate between normal regions and mass lesions. The obtained results show acceptable sensitivity and specificity for the system. After that a comparison between two pectoral muscle segmentation techniques is done. Finally we test the 2D auto-regressive modeling in classification of microcalcification. 108 pp. Englisch. Bestandsnummer des Verkäufers 9783639763881
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Breast cancer is the most common cancer in women worldwide. Computer-aided diagnosis (CAD) has been defined as a diagnosis made by a radiologist who uses the output of a computer analysis of the images when making his or her interpretation. In this Book, first a comparison between two image enhancement techniques is done to enhance the peripheral area of the breast region. Then a CAD system is developed for classifying abnormal lesions in mammograms to differentiate between normal regions and mass lesions. The obtained results show acceptable sensitivity and specificity for the system. After that a comparison between two pectoral muscle segmentation techniques is done. Finally we test the 2D auto-regressive modeling in classification of microcalcification. Bestandsnummer des Verkäufers 9783639763881
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Elmanna MohamedMohamed Elmanna received his M.Sc. Degree in Biomedical Engineering from Cairo University, Egypt in 2014. He obtained his B.Sc. degree in Biomedical Engineering from Sudan University of Science and Technology, Sudan in. Bestandsnummer des Verkäufers 151401010
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Zustand: New. pp. 108. Bestandsnummer des Verkäufers 26374342940
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Zustand: New. Print on Demand pp. 108. Bestandsnummer des Verkäufers 371702467
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Zustand: New. PRINT ON DEMAND pp. 108. Bestandsnummer des Verkäufers 18374342934
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Breast cancer is the most common cancer in women worldwide. Computer-aided diagnosis (CAD) has been defined as a diagnosis made by a radiologist who uses the output of a computer analysis of the images when making his or her interpretation. In this Book, first a comparison between two image enhancement techniques is done to enhance the peripheral area of the breast region. Then a CAD system is developed for classifying abnormal lesions in mammograms to differentiate between normal regions and mass lesions. The obtained results show acceptable sensitivity and specificity for the system. After that a comparison between two pectoral muscle segmentation techniques is done. Finally we test the 2D auto-regressive modeling in classification of microcalcification.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Bestandsnummer des Verkäufers 9783639763881
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Computer Aided Diagnosis System for Digital Mammography | Mohamed Elmanna (u. a.) | Taschenbuch | 108 S. | Englisch | 2015 | Scholars' Press | EAN 9783639763881 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 104646764
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