An Analyzer Based Deep Learning Framework for Improving Medical Diagnosis in Medical Images Case Study Iraq Healthcare

  • Zahraa Noor Aldeen, Ali Hussein Mohammed , Mohammed G. K , AbbooshAyad , Hameed Mousa

Abstract

Analyzing medical images is considering one of the most significant studies in the healthcare
sector. Hence, the speed and accuracy required in the analysis of medical images are at least as
significant as speed and accuracy in data retrieval processes. Several Sequential applications of
image processing are required for analyzing and interpreting the medical images to extract and
use relevant and meaningful information. An advent method of learning is deep learning can
help in solving the challenges of medical image processing. In this paper-in-progress, a
framework of analyzing based on a convolutional neural network (CNN) for improving medical
image diagnosis was proposed. The proposed analyzer has used to develop an application
targets to provide an analysis environment that presents several operations of medical image
processing routines and provides facilitate and supports radiologists for making an accurate and
speed up diagnosis. The proposed framework will be used later to develop an application targets
to present an analysis environment that presents several operations of medical image processing
routines and provides facilitate and supports radiologists for making an accurate and speed up
diagnosis. It is expected for an accurate, flexible, and robust application to be developed based
on the proposed framework and to be used in the field of medicine as a contribution in terms of
diagnosis improvement. The developed application will be evaluated using images from medical
and biological experiments in comparison with existing methods. Finally, the expected
experimental findings hopefully, demonstrate that the efficiency of the proposed framework and
its application in learning from brain imaging data and speed up the brain's clinical data
analysis and processing

Published
2020-05-10
How to Cite
Zahraa Noor Aldeen, Ali Hussein Mohammed , Mohammed G. K , AbbooshAyad , Hameed Mousa. (2020). An Analyzer Based Deep Learning Framework for Improving Medical Diagnosis in Medical Images Case Study Iraq Healthcare. International Journal of Advanced Science and Technology, 29(10s), 1192 - 1198. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/14614
Section
Articles