Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
17 June 2025 | Story Lacea Loader | Photo Supplied
Prof Philippe Burger
Prof Philippe Burger, Dean of the Faculty of Economic and Management Sciences at the University of the Free State, appointed to the DHET Expert Panel on University Fees to help shape the future of tuition affordability and sustainability in South Africa.

Prof Philippe Burger, Dean: Faculty of Economic and Management Sciences at the University of the Free State (UFS), has been appointed as a member of a team that will represent Universities South Africa (USAf) in a DHET Expert Panel on University Fees. The panel, which comprises representatives from USAf, the DHET, and NSFAS, focuses on the affordability of tuition fees and the future sustainability of the sector, looking at potential solutions for tuition fees beyond the 2025 academic year. 

With more than 30 years of experience in higher education, mostly in management positions, Prof Burger understands the sector well. Combined with his expertise in macroeconomics, fiscal policy, and public sector economics and finance, he is uniquely positioned to make a significant contribution to this task team.

 

Universities matter

Despite the high national unemployment rate (32%), Prof Burger points out that unemployment is largely a problem of the unskilled. “The unemployment rate of people with university degrees is about 12%, much lower than the national average,” he notes. “South Africa has a large shortage of skilled labour, which it needs to grow the economy and improve lives.” He trusts that universities can fill this void, in addition to providing the thought leaders needed to take the country forward.

Although universities in South Africa are experiencing financial pressures, they continue to lift thousands of people to better lives each year. Universities make a profoundly positive contribution to the country and its population, and Prof Burger believes that once the public is fully aware of this, it will support broader discussions in favour of higher education.

 

The challenge

Universities face several cost pressures that are causing an increase in cost at a higher rate than consumer inflation, Prof Burger explains. “For instance, we buy equipment, software, and journal subscriptions that are all priced in US dollars. Affected by the exchange rate, these types of expenses have increased by much more than the price of consumer goods in South Africa over the past ten years.” According to Prof Burger, increased operational costs, coupled with constrained university income, necessitate a model that will provide universities with enough income to cover their costs while delivering quality education in the long run. 

 

The solution

“There is an argument for universities to become more efficient, and there is certainly room for universities to look at their cost structures, but there is also a limit to what we can do,” Prof Burger says. “It is important to stress that we cannot talk about the sustainability of universities and not contextualise it within a framework that seeks to deliver quality learning, teaching, and research. In the absence of that quality, we will not be able to address the skills shortages and thought leadership that the country needs. And that is the sustainability we need to talk about – the sustainability of quality education and scholarship,” 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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept