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Computer aided detection of large lung nodules using chest computer tomography images / Ayat Mutawakkel Karrar Ahmed ; Supervised Amr Abdelrahman Sharawy , Mai Saied Mabrouk

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ayat Mutawakkel Karrar Ahmed , 2013Description: 97P. : facsimiles ; 30cmOther title:
  • تشخيص اورام الرئة كبيرة الحجم من صور الاشعه المقطعيه بمساعدة الحاسب الالى [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: Lung cancer is a disease characterized by uncontrolled cell growth in tissues of the lung . If left untreated this growth can spread beyond the lung in a process called metastasis into nearby tissue and eventually into other parts of the body . It is a very life-threatening cancer and one of the most difficult cancers to treat. .An automatic computer aided detection system is implemented to reduce false positive rates by applying three approaches containing three sets of features extraction
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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.2013.Ay.C (Browse shelf(Opens below)) Not for loan 01010110060748000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2013.Ay.C (Browse shelf(Opens below)) 60748.CD Not for loan 01020110060748000

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

Lung cancer is a disease characterized by uncontrolled cell growth in tissues of the lung . If left untreated this growth can spread beyond the lung in a process called metastasis into nearby tissue and eventually into other parts of the body . It is a very life-threatening cancer and one of the most difficult cancers to treat. .An automatic computer aided detection system is implemented to reduce false positive rates by applying three approaches containing three sets of features extraction

Issued also as CD

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