Automated human cortical bone Haversian canal histomorphometric comparison system

Abdullah, Hadi and Abdul Jamil, Muhammad Mahadi and Khan, Ijaz and Abd Wahab, Mohd Helmy Bin and Mohd Nor, Faridah (2020) Automated human cortical bone Haversian canal histomorphometric comparison system. In: Handbook of Data Science Approaches for Biomedical Engineering. Elsevier Ltd., pp. 25-67. ISBN 978-0-12-818318-2

[img] Text
Ch02 Automated human cortical bone Haversian canal.pdf
Restricted to Registered users only

Download (6MB) | Request a copy


This research presents comparison of histological parameters of cortical bones for Malaysian population. For this research 44 samples were collected from Department of Pathology, Faculty of Medicine Universiti Kebangsaan Malaysia. Sample preparation being one of the important aspects of this research, is described in detail. Six Haversian canal-based parameters were selected for the comparison. Sex and race comparisons were performed on the collected Malaysian samples. Race comparison was performed between the two Malaysian races (Chinese-Indian). The results obtained from sex comparison demonstrates difference in mean Haversian canal area (hcm). The hcm parameter in female samples were found to be significantly larger than male samples (P < .05). This research also presents an automated system which can be used as a platform to perform Haversian canal parameter comparison. The system is designed to automatically check normality of the parameters measurement data and select the relevant comparison test. It is divided into two main section. The first section provides race comparison platform while the second section is dedicated for sex comparison.

Item Type: Book Section
Uncontrolled Keywords: nil
Subjects: R Medicine > RZ Other systems of medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electronic Enngineering
Depositing User: Mrs. Siti Noraida Miskan
Date Deposited: 03 Jan 2022 04:23
Last Modified: 03 Jan 2022 04:23

Actions (login required)

View Item View Item