Search In this Thesis
   Search In this Thesis  
العنوان
Computer aided diagnosis of femur bone fracture /
المؤلف
Barakat, Heba T-Allah Khaled.
هيئة الاعداد
باحث / هبةالله خالد بركات محمد حميده
مشرف / حسن حسين سيلمان
مشرف / احمد عطوان محمد
مشرف / محمد محفوظ الموجي
مناقش / ايمان محمد الديدموني
الموضوع
Information Technology. Femur bone fracture. X-ray.
تاريخ النشر
2021.
عدد الصفحات
p. 84 :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
علوم الحاسب الآلي
تاريخ الإجازة
1/1/2021
مكان الإجازة
جامعة المنصورة - كلية الحاسبات والمعلومات - قسم تكنولوجيا المعلومات
الفهرس
Only 14 pages are availabe for public view

from 84

from 84

Abstract

Many people suffer from hip fractures, especially people suffering from osteoporosis. According to the World Health Organization (WHO), 13% of men and 40% of women suffer from fractures resulting from the osteoporosis. In 1990, hip fractures resulting from osteoporosis totaled 1.7 million worldwide, expected to increase to 6.3 million by 2050.At Singapore General Hospital, physicians diagnose 350 cases of hip fractures annually. Usually, a physician spends two rounds or more visual inspection of each X-ray image before the diagnosis. This long time of the check may affect the patient’s healthcare and the inspection accuracy due to the stress on the physicians themselves. On the other hand, computer-aided diagnosis (CAD) Systems help in overcoming most manual inspection problems. Therefore, the computer determines different types of femur fracture. CAD is an important research subject in medical imaging and diagnostic radiology, allowing radiologists to use the computer output as a second opinion to make the final decisions. Many people suffering from hip fractures, especially people with osteoporosis, and manual inspection of X-ray images are slow and expensive. This thesis proposes a multi-stage CAD system for the classification of the femur. The proposed system consists of two stages in phase one aims to classify different fractures for femur X-ray and predicts osteoporosis in the second phase.