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12 May 2021 | Story Nonsindiso Qwabe | Photo Supplied
Puseletso Moqomo

A tale of sheer resistance and of never giving up, is what best describes University of the Free State student Puseletso Moqomo’s academic journey.

From changing studies three times, losing NSFAS funding, and not being able to pay her fees, to working as a cashier at a Bloemfontein filling station to fund her education, Moqomo has seen and done it all, and she says she wouldn’t change a single thing about her journey.

She received her Bachelor of Science degree in Microbiology and Genetics in the Faculty of Natural and Agricultural Sciences during the 2021 April virtual graduation ceremony. When asked what kept her going, she said, “I told myself that I would study hard and obtain my degree; no matter what came my way, I wouldn’t give up. I would be tired and unable to study, but I told my mind that I had to do what I had to do to advance.”

Moqomo first encountered financial exclusion when her application for NSFAS funding was not approved in 2016. She did not have the R6 830 that was required for registration, and therefore had to pause her studies indefinitely. She decided to look for a job to pay her fees, and in June of that year she was employed as a temporary cashier at the Engen filling station at Northridge Mall in Noordhoek. “I was embarrassed and ashamed when I lost my NSFAS funding but giving up was not one of the things on my mind. When I started working, I made it very clear that I didn’t want to be a permanent employee; I simply wanted to work enough to have money to pay my fees.”

Juggling work and school paid off 

She saved enough to be able to register again in January 2017, but she had to change degree programmes along the way. “After writing my November exams, I would go back to Engen so that I could save money for the following year’s registration. I would fail my modules but still try again,” she said.

NSFAS continued to pay for the rest of her fees, but in 2020, during her final year, she was told that she had exceeded the number of years she could receive funding. “I began working full time because I knew I might not get NSFAS funding even after appealing, so I would work night shifts from Friday to Sunday, then take a bath at work and go to class on Monday mornings. Through all of this, I told myself that I would pass, and I would pass well.”

Fortunately, after relating her whole story to NSFAS during her appeal, she received funding for her final year – which came on time too, as she had to be laid off work temporarily due to the COVID-19 pandemic. She went back to work again in November 2020 and saved enough money to register for a Postgraduate Certificate in Education (PGCE), which she is currently pursuing. She is also currently completing her teaching practical at Ikaelelo Senior Secondary School, where she matriculated in 2013. “I knew I wanted to continue with my studies, so I worked hard.”

“Giving up is not an option; some things do not come easily – not even a degree. For some it might be easy, but for others there will be hurdles that they will have to overcome, but you have to keep going.”

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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