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CAD system for breast cancer detection using higher order statistics / Mohamed Sayed Mohamed Omer ; Supervised Amr Abdurrahman Sharawy

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Sayed Mohamed Omer , 2012Description: 83 P. : charts , facsimiles , plans ; 30cmOther title:
  • نظام للتشخيصات الحاسبية المساعدة للكشف عن سرطان الثدى بإستخدام الإحصائيات ذات الرتب العليا [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of System and Biomedical Engineering Summary: This thesis addresses an important topic of biomedical engineering topics, breast cancer and how to detect it using different computer algorithms. One of the most powerful techniques is the use of higher order statistics (HOS) as features. This is what we focus upon in this thesis, so we extracted these statistics as descriptive features then inserted them to three different classifiers for comparison
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2012.Mo.C (Browse shelf(Opens below)) Not for loan 01010110058683000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2012.Mo.C (Browse shelf(Opens below)) 58683.CD Not for loan 01020110058683000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of System and Biomedical Engineering

This thesis addresses an important topic of biomedical engineering topics, breast cancer and how to detect it using different computer algorithms. One of the most powerful techniques is the use of higher order statistics (HOS) as features. This is what we focus upon in this thesis, so we extracted these statistics as descriptive features then inserted them to three different classifiers for comparison

Issued also as CD

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