header
Local cover image
Local cover image
Image from OpenLibrary

Automatic computer-aided diagnosis system in medical imaging / Gehad Ismail Sayed Ismail ; Supervised Aboulella Hassinen

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Gehad Ismail Sayed Ismail , 2016Description: 112 Leaves : charts , facsimiles ; 30cmOther title:
  • نظام للتشخيص الآلى للصور الطبية [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology Summary: The main objective of thesis is to provide a fully automatic system to assist radiologists in imaging interpretation and help surgeons in identifying the tumors. Thesis is focused on diagnosis several medical imaging modalities: CT liver imaging, chromosomes and breast histopathology slide imaging and breast thermal imaging. The proposed CAD systems are divided into: organ segmentation, abnormalities regions extraction, features extraction and finally candidates{u2019} classification. These systems are depending on Neutrosophic Sets and Swarm Optimization approaches
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.01.M.Sc.2016.Ge.A (Browse shelf(Opens below)) Not for loan 01010110069571000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.01.M.Sc.2016.Ge.A (Browse shelf(Opens below)) 69571.CD Not for loan 01020110069571000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology

The main objective of thesis is to provide a fully automatic system to assist radiologists in imaging interpretation and help surgeons in identifying the tumors. Thesis is focused on diagnosis several medical imaging modalities: CT liver imaging, chromosomes and breast histopathology slide imaging and breast thermal imaging. The proposed CAD systems are divided into: organ segmentation, abnormalities regions extraction, features extraction and finally candidates{u2019} classification. These systems are depending on Neutrosophic Sets and Swarm Optimization approaches

Issued also as CD

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image