CLASSIFICATION OF MALARIA INFECTED ERYTHROCYTES USING IMAGE PROCESSING

Chang, Jo Yee (2020) CLASSIFICATION OF MALARIA INFECTED ERYTHROCYTES USING IMAGE PROCESSING. [Final Year Project Report] (Unpublished)

[img] PDF
Chang Jo Yee - 24 pgs.pdf

Download (799kB)
[img] PDF (Please get the password from TECHNICAL & DIGITIZATION MANAGEMENT UNIT, ext: 082-583913/ 082-583914)
Chang Jo Yee.pdf
Restricted to Registered users only

Download (2MB)

Abstract

Malaria parasites are known to have caused deaths worldwide, especially in African regions where resources are limited. Currently, malaria diagnoses are still done manually by trained experts. Hence, the use of computer-aided detection systems for malaria detection or identification in erythrocytes is a valuable approach in reducing the need for human resources. This project aims to use image processing to extract the features of infected erythrocytes and study three commonly used machine learning techniques in order to compare their performance in classifying malaria infected erythrocytes.

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020.
Uncontrolled Keywords: Malaria parasites, malaria infected erythrocytes, computer-aided detection systems.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 25 Jan 2021 08:59
Last Modified: 25 Jan 2021 08:59
URI: http://ir.unimas.my/id/eprint/34024

Actions (For repository members only: login required)

View Item View Item