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Clustering based fusion system for blastomere localization / Shimaa Mohamed Khder Abdelmokhtar ; Supervised Ayman Eldeib , Inas A. Yassine

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Shimaa Mohamed Khder Abdelmokhtar , 2019Description: 74 P. : charts , facsimiles ; 30cmOther title:
  • نظام دمج المجموعات لتحديد أماكن خلايا الأجنة في الصور الميكروسكوبيه باستخدام أنظمة الدمج [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: Microscopic digital image processing paves the way to deep study and evaluation of blastomere identification and/or localization to provide specific selection for in vitro fertilization (IVF) transfer. The main purpose of this thesis is to develop an automated image processing system which assist embryologists to study and investigate the behavior of developing pre implanted embryos wishing to improve IVF outcomes. The proposed method{u2019}s objective is calculate the number of blastomeres based on a clustering based fusion system, where the clustering algorithm enhance the results. Experimental results on a dataset of 50 embryo images with various blastomere numbers and sizes confirm that the proposed method identifies blastomeres with average Precision, sensitivity, and Overall Quality of 87.9%, 92.9%, and 82.3%, respectively
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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.2019.Sh.C (Browse shelf(Opens below)) Not for loan 01010110078905000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2019.Sh.C (Browse shelf(Opens below)) 78905.CD Not for loan 01020110078905000

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

Microscopic digital image processing paves the way to deep study and evaluation of blastomere identification and/or localization to provide specific selection for in vitro fertilization (IVF) transfer. The main purpose of this thesis is to develop an automated image processing system which assist embryologists to study and investigate the behavior of developing pre implanted embryos wishing to improve IVF outcomes. The proposed method{u2019}s objective is calculate the number of blastomeres based on a clustering based fusion system, where the clustering algorithm enhance the results. Experimental results on a dataset of 50 embryo images with various blastomere numbers and sizes confirm that the proposed method identifies blastomeres with average Precision, sensitivity, and Overall Quality of 87.9%, 92.9%, and 82.3%, respectively

Issued also as CD

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