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09 March 2018 Photo Barend Nagel
Experts engage in stimulating discussion on South Africa future
Moeletsi Mbeki, Prof Phillippe Burger, Dr Ina Gouws, and Waldimar Pelser.

The University of the Free State (UFS) and the broader Bloemfontein community had the privilege of listening to expert opinions on the country’s future at the Wynand Mouton Theatre on the Bloemfontein Campus on 2 March 2018. On stage were Waldimar Pelser, Rapport editor; Prof Phillippe Burger (Department of Economics); Dr Ina Gouws (Department of Political Studies and Governance) from UFS; and author and businessman Moeletsi Mbeki. Together they painted a critical picture of our current and future state of affairs during a remarkable morning hosted by Rapport Regstreeks and kykNET. 

The ills of our economy
Master of his subject, Prof Burger had the audience spellbound when he explained the real issues surrounding our current sluggish economy. He was concerned about the general lack of growth – the major reason for unemployment. Figures have shown that even a slight increase in economic growth, creates an increase in employment. “We know that good education leads to economic growth,” he said. Poor education is one of our big problems, with our school mathematics performance among the worst in the world. He further advised that we should roll back patronage, stabilise public debt, facilitate a true partnership between government and businesses, identify specific growth sectors, address tenure rights, develop supply chains, and develop special skills. “I believe that we should bring back apprenticeships,” he said. 

Political pains
Mostly in agreement with Prof Burger’s contribution, Mbeki wanted to add politics in the mix as a factor that harms our economy. Capturing the audience with his impressive knowledge and insight, he explained that we basically still sat with the British economic systems set out between 1902 and 1910 – the production and export of minerals, fuelled by cheap labour. The mining sector provided a market for agriculture that also used cheap labour. Currently, we sit with two elites: the capital elite that produces, and the political elite that taxes the profits. Hence, the money is not reinvested. “We need new elite, that will invest in the country, instead of consuming the profits,” he said. Who should this be? “Such a coalition must include owners of productive assets who should form an alliance with rural people.”

Remain vigilant
Dr Ina Gouws supported this notion, saying that now was not the time to put our hopes in one leader for a better future. We should remain critical and vocal about our concerns. Political leaders did not always paint a true picture of what the people wanted and felt. 

More interesting and current topics were addressed during the question and answer session, and Pelser ensured that all adhered to a strict schedule, while using the available time optimally. We hope to see more such events on campus, inviting discourse on current topics. 

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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