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Automatic imaging system for Inspection of pigmented skin lesions and melanoma diagnosis / Mariam Ahmed Mohamed Ismael Sheha ; Supervised Amr Sharawy , Mai Mohamed Saeed Mahmoud Mabrok

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mariam Ahmed Mohamed Ismael Sheha , 2014Description: 147 P. : charts , facsimiles ; 30cmOther title:
  • نظام تصوير اوتوماتيكي لفحص البؤر الصبغيه و تشخيص الميلانوما [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: Skin cancer appears to be one of the most dangerous types among others by the presence of malignant melanoma as one of its forms where it`s incidence and mortality rates have been steadily increasting worldwide over the past decades. Clinicians usually found difficulties to differentiate between malignant melanoma and melanocytic nevus. This thesis proposes computer-aided diagnosis of melanoma to provide quantitative and objective evaluation of skin lesion as opposed to visual assessment, which is subjective in nature
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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.2014.Ma.A (Browse shelf(Opens below)) Not for loan 01010110064837000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2014.Ma.A (Browse shelf(Opens below)) 64837.CD Not for loan 01020110064837000

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

Skin cancer appears to be one of the most dangerous types among others by the presence of malignant melanoma as one of its forms where it`s incidence and mortality rates have been steadily increasting worldwide over the past decades. Clinicians usually found difficulties to differentiate between malignant melanoma and melanocytic nevus. This thesis proposes computer-aided diagnosis of melanoma to provide quantitative and objective evaluation of skin lesion as opposed to visual assessment, which is subjective in nature

Issued also as CD

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