Integration of swarm intelligence and artificial neural network for medical image recognition

Other Title(s)

تكامل الشبكات العصبية الاصطناعية و ذكاء السرب للتمييز الصور الطبية

Joint Authors

Akkar, Hanan Abd al-Rida
Husayn, Samirah Shams

Source

Engineering and Technology Journal

Issue

Vol. 31, Issue 13A (31 Aug. 2013), pp.2548-2560, 13 p.

Publisher

University of Technology

Publication Date

2013-08-31

Country of Publication

Iraq

No. of Pages

13

Main Subjects

Medicine
Information Technology and Computer Science

Topics

Abstract AR

الهجين تعد تكنولوجيا الشبكات العصبية الاصطناعية من التقنيات المهمة في تطور حديث مساعدة التشخيص الطبي أو ما يعرف بـ "التشخيص بمساعدة الحاسوب" و المعتمد على تمييز الصورة.

هذا العمل يدرس امكانية استخدام طريقة تكامل شبكة الإنتشار الخلفي مع استمثال عناصر السرب في أجزاء من تمييز الأشعة السينية للرئة لحالتين مرضيتين هما السرطان و التدرن إلى جانب الحالة الطبيعية.

تبين التجارب بأن تحسين الخوارزميات لغرض عملية التمييز حققت نتائج جيدة وصلت إلى كفاءة بمقدار 88.398% لصورة ذات حجم (1024) نقطة و حجم مجتمع (500).

تم إجراء اختبارات الكفاءة و التمييز لطرق التدريب و تم ذكرها في هذا العمل.

Abstract EN

Neural network technology plays an important role in the development of new medical diagnostic assistance or what is known as “computer aided” that based on image recognition.

Thispaper study the method used integration of back propagation neural network and Particle Swarm Optimizing (PSO) in parts of recognition the XRay of lungs for two disease cases (cancer and TB) along with the normal case.

The experiments show that the improvement of algorithms for recognition side has achieved a good result reached to 88.398 % for input image size 1024 pixel and 500 population size.

The efficiency and recognition testes for training method was performed and reported in this paper.

American Psychological Association (APA)

Akkar, Hanan Abd al-Rida& Husayn, Samirah Shams. 2013. Integration of swarm intelligence and artificial neural network for medical image recognition. Engineering and Technology Journal،Vol. 31, no. 13A, pp.2548-2560.
https://search.emarefa.net/detail/BIM-345704

Modern Language Association (MLA)

Akkar, Hanan Abd al-Rida& Husayn, Samirah Shams. Integration of swarm intelligence and artificial neural network for medical image recognition. Engineering and Technology Journal Vol. 31, no. 13 A (2013), pp.2548-2560.
https://search.emarefa.net/detail/BIM-345704

American Medical Association (AMA)

Akkar, Hanan Abd al-Rida& Husayn, Samirah Shams. Integration of swarm intelligence and artificial neural network for medical image recognition. Engineering and Technology Journal. 2013. Vol. 31, no. 13A, pp.2548-2560.
https://search.emarefa.net/detail/BIM-345704

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 2560

Record ID

BIM-345704