Detection of lung cancer Using Artificial Neural Networks

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Lung cancer is considered to be the main cause of cancer death worldwide, and in its early stages it is difficult to detect because only in the advanced stage symptoms appear causing the mortality rate to be the highest among all other types of cancer. Lung cancer is cause due to uncontrolled growth of abnormal cells in one or both lungs, if it's missed with any treatment, this growth can be spread away from lung in a process called metastasis into nearby tissue of chest or other parts of the bodyThe objective of this study is to design and develop an automated system for lung CT images diagnosis to Support the physicians‟ decisions in the diagnosis and treatment planIn this study, Data set of Lung CT images created by TCIA (The Cancer Imaging Archive) were used, MATLAB have been used through every procedures made on these images . In image processing procedures, process such as image preprocessing, then the features are extracted from the segmented lungs region using Haralick‟s feature, this step is followed by features selection and reduction to choose the best representative features. In the classification step Artificial Neural Network (ANN) was applied to classify images into normal or abnormal.

روابط وملفات

التعريف والنوع

رقم الوثيقة

0a8b6c6c-709b-459c-853a-bb39ec63ec0b

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

17660_1.pdf

بيانات النشر

ترجمة العنوان

الكشف عن سرطان الرئه باستخدام الشبكات العصبية الصناعية

ألقاب المؤلفين

[{"name_ar":"Eltahir MohamedHussein","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"سلمي يوسف أحمد","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Detection of lung cancer Using Artificial Neural Networks

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Eltahir MohamedHussein

الإعداد

سلمي يوسف أحمد

الاقتباسات الببليوغرافية