Document Type : Original Article
Authors
Abstract
BACKGROUND: The first step to properly designing image retrieval systems with the aim of meeting
the needs of students and researchers is to be fully aware of their behavior in the face of these
systems and image resources. The purpose of this study is to identify image retrieval behavior of
medical students.
MATERIALS AND METHODS: This study is an applied research that has been done by descriptive‑survey
method. The statistical population of this study is 816 general(clinical) medical students who are studying
in the fourth and fifth years. Using Morgan and Krejcie table, the number of statistical sample members
was 265 who were selected using random sampling method. Research data have been gathered using
a questionnaire (researcher made) and then analyzed using SPSS22 software.
RESULTS: The findings showed that 78.1% of students consider the use of images in class
presentations or scientific reporting as the most important reason. According to 73.6% of respondents,
the highest rate of image search is in the form of videos. About 76.2% of them consider general
search engines to be the most common source for receiving images. For this purpose, only 3.8% of
students refer to the librarians. Among the databases from which medical images can be obtained,
the most well‑known source was the Springer website, which 30.6% of respondents were familiar.
CONCLUSION: The process of meeting the image‑seeking needs is influenced by various individual,
social, and other factors. This study can improve this process by providing the necessary suggestions
to medical students, for eliminating barriers and problems in accessing reliable resources and visual
information they require, to clarify the necessity of promoting technical knowledge to search accurately
and to help for finding solutions to medical and treatment educational centers to have access to
reliable and up‑to‑date information.
Keywords
in American history. Inf Proc Manag 2002;38:695‑726.
2. Enser P. The evolution of visual information retrieval. J Inf Sci
2008;34:531‑546.
3. Kalantari A, Jowkar A, Jahani Hashemi H. Information seeking
behavior of postgraduate students of Qazvin University of
Medical Sciences for retrieval of specialized images and videos.
J Payavard Salamat 2017;11:479‑89.
4. Mokhtarpour R, Keshvari M. Comparative study of methodological
approach to models and studies of information seeking behavior
of Iranian researchers. Human Inf Interact 2015;2:43.
5. Kiani M, Mansourian Y. Medical image retrieval in the web from
the perspective of experts in medical sciences: A qualitative study.
J Health Administ 2013;16:99-108.
6. Vakili Mofrad H, Hariri N, Noshinfard F, Abazari Z. A comparative
evaluation of the recall and precision of search engines and meta
search engines in medical images retrival. Sci Int 2015 Mar 1;27 (2).
7. Norouzi Y, Homavandi H. Survey of image search and retrieval
problems in selected search engines based on the Persian writing
styles. library. Inf Res J Fall Winter 2016;5:206‑22.
8. Asadi Ghadikolaie O, Asadi S, Nouroozi A, Ehsani R. Comparing
the accuracy of general search engines and specialized databases
in retrieving radiology images. Health Manag Tratment
2014;5:77‑8.
9. Abirami N, Gavaskar S. Content based image retrieval techniques
for retrieval of medical images from large medical datasets‑a
survey. Int J Adv Res Comp Sci 2019;10:50.
10. Shamna P, Govindan VK, Abdul Nazeer KA. Content based
medical image retrieval using topic and location model. J Biomed
Inform 2019;91:103112.
11. Esmaeilzadeh S, Ashrafi‑Rizi H, Shahrzadi L, Mostafavi F.
A survey on adolescent health information seeking behavior related to high‑risk behaviors in a selected educational district
in Isfahan. PLoS One 2018;13:e0206647.
12. Ghazavi‑Khorasgani Z, Ashrafi‑Rizi H, Mokarian F, Afshar M.
Health information seeking behavior of female breast cancer
patients. J Educ Health Promot 2018;7:138.
13. Sedghi S. Relevance Criteria for Medical Images Applied by
Health Care Professionals: A Grounded Theory Study: [PhD
thesis] South Yorkshire: University of Sheffield; 2009.
14. Safipour Afshar A. Image Retrieval Behavior of Post Graduate
Students of Tehran University of Medical Sciences [dissertation].
Tehran: Tehran University of Medical Sciences; 2011.
15. Khajeh A, Vardanjani HM, Salehi A, Rahmani N, Delavari S.
Healthcare‑seeking behavior and its relating factors in South of
Iran. J Educ Health Promot 2019;8:183.
16. Markonis D, Holzer M, Dungs S, Vargas A, Langs G, Kriewel S,
et al. A survey on visual information search behavior and
requirements of radiologists. Methods Inf Med 2012;51:539‑48.
17. Ruiz ME, Chin P, editors. Users’ Image Seeking Behavior in a
Multilingual Tag Environment. Workshop of the Cross‑Language
Evaluation Forum for European Languages; Springer: 2009.
18. Hersh W, Jensen JR, Müller H, Ruch P, Gorman PN. A Qualitative
Task Analysis of Biomedical Image Use and Retrieval; 2005.
19. Ahmadipour F, Hajizeinolabedini M, Asnafi AR. Study on Image
seeking behaviour of Iranian Architects at Shahid Beheshti
Unviersity. Library Philosophy and Practice. 2019 Dec 1:1‑7.
20. Mirjood SH, Ghiasi M, Daliri S, Kouchakinejad EL, Abbasian JA.
A comparison of accuracy in specialized medical search and
general search engines for retrieving medical image. Educational
Development of Judishapur 2015;6(2):130‑8.
)