Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review
Authors:
- Marrium AnamMAMarrium Anam
- Vasaki A/P PonnusamyVPVasaki A/P Ponnusamy
- Muzammil HussainMHMuzammil Hussain
- Muhammad Waqas NadeemMNMuhammad Waqas Nadeem
- Mazhar JavedMazhar Javed
- Hock Guan GohHGHock Guan Goh
- Sadia QadeerSQSadia Qadeer
Open Access
- 1 January 2021
- journal article
- review article
- Published by Tech Science Press in Computers, Materials & Continua
- Vol. 67 (1) , 89-105
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
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