Performance of Retrieval Information System For Medical Images

Article ID

CSTGV71W2P

Performance of Retrieval Information System For Medical Images

Dr. Hazem (Mohad Said) Hatamleh
Dr. Hazem (Mohad Said) Hatamleh
Ahmed A.M Sharadqeh
Ahmed A.M Sharadqeh
Asad Mahmoud Alnaser
Asad Mahmoud Alnaser
Omar AlHeyasat
Omar AlHeyasat
Ashraf Abdel-Karim Abu-Ein
Ashraf Abdel-Karim Abu-Ein AL-Balqa Applied University
DOI

Abstract

Problem statement : In this article the principles of building knowledge and retrieval information system will be applied to medical images in some studied hospital. Since there is a huge number of medical images this system will organizes and manages the operation of retrieving and displaying such images to the persons who need such images in short time and in high quality services. Approach : From relevance assessments we can compute measures of retrieval performance such as: Recall (R), discrimination DC, and Precision. Results: both recall and precision of the system are linearly depend on relevant items correctly retrieved. Conclusion : Number of retrieved images from huge total number of medical images in some hospital determine the systems’ recall, discrimination, and precision of the retrieval information system.

Performance of Retrieval Information System For Medical Images

Problem statement : In this article the principles of building knowledge and retrieval information system will be applied to medical images in some studied hospital. Since there is a huge number of medical images this system will organizes and manages the operation of retrieving and displaying such images to the persons who need such images in short time and in high quality services. Approach : From relevance assessments we can compute measures of retrieval performance such as: Recall (R), discrimination DC, and Precision. Results: both recall and precision of the system are linearly depend on relevant items correctly retrieved. Conclusion : Number of retrieved images from huge total number of medical images in some hospital determine the systems’ recall, discrimination, and precision of the retrieval information system.

Dr. Hazem (Mohad Said) Hatamleh
Dr. Hazem (Mohad Said) Hatamleh
Ahmed A.M Sharadqeh
Ahmed A.M Sharadqeh
Asad Mahmoud Alnaser
Asad Mahmoud Alnaser
Omar AlHeyasat
Omar AlHeyasat
Ashraf Abdel-Karim Abu-Ein
Ashraf Abdel-Karim Abu-Ein AL-Balqa Applied University

No Figures found in article.

Ashraf Abdel-Karim Abu-Ein. 2012. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F11): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 12 Issue F11
Pg. 19- 22
Classification
Not Found
Article Matrices
Total Views: 10177
Total Downloads: 2829
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Performance of Retrieval Information System For Medical Images

Dr. Hazem (Mohad Said) Hatamleh
Dr. Hazem (Mohad Said) Hatamleh
Ahmed A.M Sharadqeh
Ahmed A.M Sharadqeh
Asad Mahmoud Alnaser
Asad Mahmoud Alnaser
Omar AlHeyasat
Omar AlHeyasat
Ashraf Abdel-Karim Abu-Ein
Ashraf Abdel-Karim Abu-Ein AL-Balqa Applied University

Research Journals