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Bio-medical image analysis / Hossam Mahmoud Moftah Teleb ; Supervised Mahmoud Ismail , Aboulella Hassanien , Neveen Ibrahim Ghali

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Hossam Mahmoud Moftah Teleb , 2013Description: 89 Leaves : charts , facsimiles ; 30cmOther title:
  • تحليل الصور الطبية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Information Technology Summary: A hybrid approach that combines the advantages of fuzzy sets, ant-based clustering and Multilayer Perceptron Neural Network (NN) classier, in conjunction with statistical-based feature extraction techniques is introduced in the research to classify the breast tumor into two outcomes: Benign or Malignant
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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 Cai01.20.01.Ph.D.2013.Ho.B (Browse shelf(Opens below)) Not for loan 01010110062963000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.01.Ph.D.2013.Ho.B (Browse shelf(Opens below)) 62963.CD Not for loan 01020110062963000

Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Information Technology

A hybrid approach that combines the advantages of fuzzy sets, ant-based clustering and Multilayer Perceptron Neural Network (NN) classier, in conjunction with statistical-based feature extraction techniques is introduced in the research to classify the breast tumor into two outcomes: Benign or Malignant

Issued also as CD

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