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Computer-aided diagnosis system for retinal images / (Record no. 65979)

MARC details
000 -LEADER
fixed length control field 03360cam a2200349 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031959.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180424s2017 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.20.03.M.Sc.2017.Ge.C
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Gehad Hassan Abass Salem
245 10 - TITLE STATEMENT
Title Computer-aided diagnosis system for retinal images /
Statement of responsibility, etc. Gehad Hassan Abass Salem ; Supervised Ali A. Fahmy , Aboulella Hassanien , Abdallah Mahmoud Shoeb
246 15 - VARYING FORM OF TITLE
Title proper/short title نظام مساعد لتشخيص صور شبكية العين
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Gehad Hassan Abass Salem ,
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent 112 Leaves :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
520 ## - SUMMARY, ETC.
Summary, etc. Diabetic Retinopathy (DR) is one of the leading causes of blindness. The risk of vision loss due to this disease could be avoided and reduced by timely diagnosis. Early treatment of DR (Diabetic Retinopathy) through screening and controlling the duration and degree of diabetes are an effective steps in fighting and preventing the disease progress thus minimizing the danger of vision loss. The early detection of DR can reduce the risk of vision loss by 50 percent. Medical imagining is one of the most important tools among the health care commu- nity. Not only for the record storing and visual documentation, but also for information extraction of many diseases. We can extract great valuable information and make useful history which helps us in treatment and healing by tracking the disease progress of the patient. Diabetic retinopathy is among these diseases that can be early discovered by analyzing the retinal images using one of these tools before involving in critical stages that may be lead to blindness. Analysis of the retinal blood vessels structure is a main step for this tools as it can lead us to ensure the presence of disease or not. Manually performing such a task is considered a major obstacle as it has many disadvantages like prone to human error and waste time because of the vast amount of images and vessel structure complication. Soan accurate automated retinal blood vessel segmentation technique is needed to detect the retinal blood vessels perimeter and area or determine the optic disc shape to help as a preprocess phase before the disease detection step. In recent years, several researches have been proposed for vessel segmentation using differ- ent techniques such as Support Vector Machine(SVM), K-nearst neighbor, Na{u00A8}ıve Bayes, Fuzzy C Means (FCM) and others technique. However there are still some problems that need to be handled such as analyzing of thin vessels or dealing with abnormal images with their symptoms that complicate the segmentation process and effect on the results quality
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Computer-aided diagnosis system
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Diabetic Retinopathy (DR)
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Retinal images
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Abdallah Mahmoud Shoeb ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Aboulella Hassanien ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ali A. Fahmy ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.20.03.M.Sc.2017.Ge.C 01010110074898000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.03.M.Sc.2017.Ge.C 01020110074898000 22.09.2023 CD - Rom 74898.CD