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25 April 2019 | Story Rulanzen Martin | Photo Rulanzen Martin
SAGV Conference
From left; Dr Cilliers van den Berg, Head of the German Section; Prof Marianne Zappen-Thomson, President of SAGV and Dr Akila Ahouli, representative from GAS.

As much as it was a conference on Germanistik (German Studies) it also highlighted the international footprint of the University of the Free State (UFS) and the important role of international and national academic collaborations. 

The German Section in the Department Afrikaans and Dutch; German and French at the UFS hosted the second conference of the Association of German Studies in Southern Africa (SAGV) and German Studies in Sub-Saharan Africa (GAS) from 15-18 April 2019 on the UFS Bloemfontein Campus. 

“We are very proud to be hosting the conference. It is an international conference with delegates from overseas who are all working in German Studies or to use the German term Germanistik,” said Dr Cilliers van den Berg, Head of the German Section at the UFS. 

Waiting room in Germanistik explored

Warteräume (waiting rooms) was the theme of the four-day conference with various research papers on the role and/or value of these waiting rooms within Germanistik. “It is the transitional areas, within Germanistik, on every conceivable level,” said Van den Berg. The conference was sponsored by the embassies of Germany, Austria and Switzerland, as well as the German Academic Exchange Service and the Goethe Institute of Johannesburg.

“When I look at the theme of the conference it is extremely exciting because it reminds me of Homi Bhabha’s Third Spaces, liminal spaces and the in-betweeners,” said Prof Heidi Hudson, Dean of the Faculty of The Humanities. 

UFS and internationalisation


“One of the concepts we actively embrace is that of internationalisation. Globally and nationally, internationalisation has become accepted as one of the critical processes advancing the core business of universities,” said Prof Francis Petersen, Rector and Vice-Chancellor of the UFS.

The delegates who attended the conference were from countries which included, among others, Ethiopia, Burkina Faso, Italy, Kenya, Germany and Namibia as well as delegates from the universities of Stellenbosch, Pretoria, Rhodes and North-West. 

“You represent a multifaceted culture that has enriched our global academic and cultural landscape over many years: great minds like Goethe, Kafka, Beethoven, Mozart, Freud, and Einstein,” said Prof Petersen.


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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