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21 April 2022 | Story Leonie Bolleurs | Photo Leonie Bolleurs
Walena and Elize
Walena Marambakuyana and Elize Swartz.

Her love of numbers and analysing data – to such an extent that she, just for the fun of it, did university Mathematics in her spare time in Grade 10. This not only resulted in an A for Maths in matric, but also contributed to Walena Anesu Marambakuyana’s success during her postgraduate studies, as she was announced the best honours student in her year group in the Faculty of Natural and Agricultural Sciences. 

Solutions to Africa’s challenges

For this prestigious achievement, she was presented the Dean’s Medal, which she collected during the faculty’s graduation ceremony on 21 April 2022. “I can't begin to say how much this means to me. I think of the struggles that I've faced, and it just proves to me that anything is possible if you set your mind to it,” says Walena, who believes this achievement will also motivate her little sisters to aim higher in life. 

Walena, who completed her undergraduate studies in Actuarial and Financial Mathematics at the University of Pretoria, continued with her honour’s degree in Risk Analysis at the UFS.

“Thinking back, it was always clear that I would take this route. Throughout primary school and high school, the Math teachers particularly liked me. I think it was because they saw that I really enjoyed Mathematics. I also remember that at the tender age of seven, my dad's colleagues would call me a mathematician,” recounts Walena.

She, like her aunt and role model, Dr C Gandidzanwa, is working towards obtaining a PhD. Currently, Walena is enrolled for the master’s degree in Risk Analysis at the UFS. “In my view, a PhD would enable me to contribute to innovative ideas that will provide solutions to the various challenges we are facing in Africa and the world at large. I specifically would like to inspire younger generations coming after us to safeguard against risks by anticipating, assessing, and taking the necessary steps to mitigate against risks,” she says.

“I believe risk assessment and mitigation not only contribute to my day-to-day activities; it also affects bigger global challenges such as climate change. Through my studies, I have a clear picture of what can be done to mitigate these risks. However, the challenge is always to ensure that this filters to practical action,” says Walena.

This is where I belong

Receiving the Dean’s Medal for the best marks in the group of master’s students in the Faculty of Natural and Agricultural Sciences at the University of the Free State (UFS), was another mathematician, Elize Swartz. “Receiving the Dean's Medal is a great honour for me. It reminds me that hard work pays off and it encourages me to continue with my studies.”

She completed her honours degree, majoring in Mathematics and Applied Mathematics, in 2019 and her master’s degree in Mathematics in 2021. For both, her mini thesis was in the field of graph theory.

Currently a lecturer in the UFS Department of Mathematics and Applied Mathematics, she is looking forward to starting with her PhD later this year. Elize, who already knew in primary school that she wanted to be a teacher, is hoping to one day be a full-time lecturer at the UFS. “My passion is to work with young people. I hope to make a difference in their lives by teaching, sharing my knowledge, and helping them in such a way that they experience the love of Jesus Christ,” she says. 

She continues: “I cherish the instances when my lecturers gave me advice, encouraged me, and recognised my hard work. I want to share and continue that positive experience with other people and students by teaching them to work hard and be responsible, while treating them with kindness, patience, and love.”

Her favourite part of studying was the moment when she did homework and assignment problems and everything just started to fall into place. “For me, Maths problems are almost like a little game or puzzle. I also enjoyed receiving my marks after each assignment, test, or exam, knowing that this was the result of all my hard work,” says Elize, who also enjoys campus life, especially after the lockdown, “walking on campus – feeling safe, at home, and the sense of knowing this is where I belong”.

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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