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PROJECT DESCRIPTION

Automatic analysis and diagnosis of disease

This computer science project aims to provide medical institutions with an alternative method to diagnosing diseases that require a blood sample to be tested and analysed.

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We will use peripheral blood smear images and monitor the affects of a disease on red blood cells and their morphology. Changes in cell size, shape, colors, et cetera can relate to a specific disease so we might be able to make a diagnosis based on the information contained within the sample image. For an extensive explanation of the problem description, related work, methodology, user requirements and more please the supplied documentation.


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OUR GOALS

Diseases such as Tuberculosis, HIV/AIDS, and Diabetes kill 500 000 people every year in South Africa and affect millions of people world wide. Diagnosing these kinds of diseases is a two-part process. Tests need to be conducted on a sample belonging to the patient, and the test results need to then be anaylsed by a specialist medical practitioner. We aim to eleminate the gap between the testing and analysis/diagnosis procedure by creating a software product. Our solution will attempt to automatically analyse blood samples and then provide a diagnosis of disease in a timely, less costly, more easily and efficient way.

TOP KILLING DISEASES IN SOUTH AFRICA:

Tuberculosis

8.8%

HIV/AIDS

5.1%

Diabetes Mellitus

4.8%

Influenza and Pneumonia

5.2%

Cerebrovascular and other Heart Disease

4.9%
~400
medical institutions
>450,000
natural deaths each year
45 million +
people relying on the public healthcare system
Disease
leading cause of death
DOCUMENTATION

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Quarter 3:

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Quarter 4:

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Our Details

Student: Mathew Ramsay
3302180@myuwc.ac.za


Supervisors:
Dr. Jean-Baka Domelevo Entfellner and Mehrdad Ghazi-Asgar


For more information contact the Computer Science department at the University of the Western Cape