Open Access iconOpen Access

REVIEW

crossmark

Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review

Marrium Anam1, Vasaki a/p Ponnusamy2,*, Muzammil Hussain3, Muhammad Waqas Nadeem2,4, Mazhar Javed3, Hock Guan Goh2, Sadia Qadeer3

1 Department of Computer Science, Government College University, Faisalabad, Pakistan
2 Faculty of Information and Communication Technology (FICT), Universiti Tunku Abdul Rahman (UTAR), Kampar, Malaysia
3 Department of Computer Science, School of Systems and Technology, University of Management and Technology, Lahore, Pakistan
4 Department of Computer Science, Lahore Garrison University, Lahore, Pakistan

* Corresponding Author: Vasaki a/p Ponnusamy. Email: email

Computers, Materials & Continua 2021, 67(1), 89-105. https://doi.org/10.32604/cmc.2021.013159

Abstract

Trabecular bone holds the utmost importance due to its significance regarding early bone loss. Diseases like osteoporosis greatly affect the structure of the Trabecular bone which results in different outcomes like high risk of fracture. The objective of this paper is to inspect the characteristics of the Trabecular Bone by using the Magnetic Resonance Imaging (MRI) technique. These characteristics prove to be quite helpful in studying different studies related to Trabecular bone such as osteoporosis. The things that were considered before the selection of the articles for the systematic review were language, research field, and electronic sources. Only those articles written in the English language were selected as it is the most prominent language used in scientific, engineering, computer science, and biomedical researches. This literature review was conducted on the articles published between 2006 and 2020. A total of 62 research papers out of 1050 papers were extracted which were according to our topic of review after screening abstract and article content for the title and abstract screening. The findings from those researches were compiled at the end of the result section. This systematic literature review presents a comprehensive report on scientific researches and studies that have been done in the medical area concerning trabecular bone.

Keywords


Cite This Article

APA Style
Anam, M., Ponnusamy, V.A., Hussain, M., Nadeem, M.W., Javed, M. et al. (2021). Osteoporosis prediction for trabecular bone using machine learning: A review. Computers, Materials & Continua, 67(1), 89-105. https://doi.org/10.32604/cmc.2021.013159
Vancouver Style
Anam M, Ponnusamy VA, Hussain M, Nadeem MW, Javed M, Goh HG, et al. Osteoporosis prediction for trabecular bone using machine learning: A review. Comput Mater Contin. 2021;67(1):89-105 https://doi.org/10.32604/cmc.2021.013159
IEEE Style
M. Anam et al., "Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review," Comput. Mater. Contin., vol. 67, no. 1, pp. 89-105. 2021. https://doi.org/10.32604/cmc.2021.013159

Citations




cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 3454

    View

  • 1697

    Download

  • 0

    Like

Share Link