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06 January 2020 | Story Igno van Niekerk | Photo Igno van Niekerk
Success is tied to the company you keep
Prof Brownhilder Neneh believes failure is part of success – it teaches you to be persistent and resilient.

As a young girl growing up in the Cameroon, her dad told her that once she had completed her first degree, she could choose where in the world she wanted to study. Her first choice was the United States; she applied and was admitted.

So, how did she come to complete her postgraduate studies and then became a professor and Head of the UFS Department of Business Management?


A matter of timing

Prof Brownhilder Neneh, Associate Professor in the Department of Business Management, tells the story. “It was a matter of timing. The new intake in the US took place in June; I started looking around and saw that there was an opportunity to come to the UFS. I did not want to waste six months; so, I came here, did my honours degree, and within one year and five months, I completed my master’s degree (Cum Laude), and then went home. I thought of doing my PhD in Germany but realised that the language might be a challenge; I came back and within a year and a few months, I completed my PhD.”

Listening to Prof Neneh relate the story, one might think she does nothing but study; although her academic workload is high, she finds the time to play with her 14-month-old baby every day. “When I arrive home and she sees me – that’s when my energy soars – and we start playing. Where possible, I take her to conferences with me. As a working mother, I understand the challenge of finding the balance, and my husband is great in supporting me.”


Finding the balance

Having risen to the position of professor, being happily married, and apparently having found the balance which many people seems to strive for their entire lives, I ask Prof Neneh what her recipe for success is. She doesn’t hesitate: “Success is tied to who you marry (if you get married), the company you keep, hard work, consistency, and always trying to be the best at what you do – and, oh yes, failure is part of success; it teaches you to be persistent and resilient. I also believe that God’s grace and favour has added to my success.” At a conference in September 2019, Prof Neneh once again talked about her favourite topic – women entrepreneurs and the challenges they face. She believes that there is a lot to be done to lessen the load of entrepreneurial women. And as I get ready to leave, I ask for her definition of success. She doesn’t hesitate: “Seeing students fly above you – and shining. Yes, to see them shine.”

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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