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07 August 2018
Reitz the road to reconciliation nearly a decade later
Brugbouers Die Reitz-video en die pad na versoeningis published by Penguin Books

People who work to reconcile communities, to bring about change and transformation, need to do more than get people to sit and talk. They need to go on and make something work afterwards, said the former UFS Dean of Student Affairs Dr Rudi Buys

Dr Buys launched his book, Brugbouers Die Reitz-video en die pad na versoening, on the Bloemfontein Campus of the University of the Free State (UFS). 

Challenging peace, bringing people together

“Bridge-builders bring people together and drive forward a process that challenges peace," said Dr Buys. 

The book talks about the 2008 controversial Reitz-video that surfaced at the UFS when white male students demeaned and humiliated five black university workers in 2007 at a campus residence. The degrading treatment of the workers, recorded on film, led to racial conflicts at UFS and condemnation worldwide.

At the time Dr Buys was approached as a reconciliation consultant and later became the Dean of Student Affairs. 

“It is my picture,” says former dean of students

The book tells the stories of four student leaders during the turbulent time that followed. Dr Buys said he added his own story to these, explaining what his process was as an Afrikaner who was challenged by the events. “It is my picture and what I experienced while I was part of the UFS and the process here at the time.”  

He said the book was not an analysis of what happened. 

Dr Buys said one of the things that stood out from the experiences of the student leaders was that their internal struggles with issues of racism were more similar than different. “The world would have us believe that it is something different.”

“Change will not come in one generation”


Taking part in the discussion, UFS Rector and Vice-Chancellor Prof Francis Petersen, indicated that the team who led the earlier process of transformation and integration had done excellent work. However, he warned that nobody should have the illusion that was enough. He said in a society where issues were profoundly entrenched, change would not come in one generation. 

Prof Petersen said initiatives such as the constant debates, dialogues and conversations at student level and the current Thought Leadership Series were essential.  “More of these engagements should happen,” Prof Petersen said.

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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