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08 December 2023 | Story Leonie Bolleurs | Photo Charl Devenish
Thabo Dithebe
When Thabo Dithebe walked across the stage in the Callie Human Centre, a childhood dream came true, despite several difficulties he had to deal with during his studies.

Thabo Dithebe received his Bachelor of Management Leadership (BML) qualification during the University of the Free State’s December graduation ceremonies. His life journey of resilience, adaptability, and a willingness to embrace unexpected opportunities is an inspiring story that needs to be told. 

Born in the farming community of Bothaville, Thabo initially wanted to pursue a career in engineering, and he chose maths, science, and technical subjects in high school. However, a temporary job in retail near home and experiencing the toll of retrenchment redirected his path to sales and marketing and pushed him to apply for a BML in the UFS Business School.

“When I enrolled for the BML, my childhood dream of going to university became a reality. Although the journey was not easy, it was worth pursuing,” says Thabo, who is employed as an area sales manager at Marltons Pet Care.

Balancing studies and responsibilities at home

In addition to managing the pressure of being stretched to the limit in class, Thabo also had to balance his studies with the responsibilities at home – taking care of his sick and disabled daughter.

“Balancing these commitments was always a challenge, but I was fortunate to have a supportive caregiver who understood the needs of children living with disabilities. There were tough times, especially during submission seasons when my daughter would fall ill. In those moments, I had to prioritise her health, temporarily setting aside my studies until she received proper care at the hospital,” he states.

Besides caring for his daughter and being retrenched, he also went through a breakup. Thabo believes that things could have turned out differently if he had stopped imagining and dreaming, because he had every reason to give up. He describes reaching this significant milestone in his life as ‘unreal’. 

He says that he was motivated to persevere, because from the first day he enrolled, he wanted to make his family proud of him. “There were times when I asked myself if I had what it takes to complete the programme. Should I choose not to complete the course, what would I say to my son when life knocks him down, when he sees me giving up? How do I face my mother if I came back defeated? I had good people on my side who wanted me to succeed,” he says.

Ready to take on the next challenge

Having reached this significant milestone in his life, Thabo is ready for the next challenge. “I am hoping to be accepted into the PGDip in Business Administration programme for the 2024 intake,” he says. 

He advises others who face challenges while pursuing their educational goals to understand that their situation is not permanent and that there is strength in adversity. “It is important to celebrate the small victories often and to associate yourself with people who work harder than you,” he adds.

On 7 December 2023, as Thabo walked across the stage, he looked for the face of his mother in the audience – a lady who made several sacrifices to raise him and his five siblings. “I hope that when she saw me, she was very proud of me,” he concludes. 

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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