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08 July 2019 | Story Xolisa Mnukwa | Photo Charl Devenish
Thought-Leader Series 2019
Executive Director: Centre for Politics and Research and political commentator, Prince Mashele, one of the key experts at the UFS Thought-Leader series, advises the youth in South Africa on acquiring multidisciplinary skills in order to survive in the future world of work.

The University of the Free State (UFS), in collaboration with Vrye Weekblad, presented the second consecutive Thought-Leader series on the Bloemfontein Campus on 4 July 2019, with topics focusing on economic growth and entrepreneurship for an emergent South African economy and environment. The series formed part of the literature festival of the Vrystaat Arts Festival, presented on the campus from 1 to 7 July 2019.

Rector and Vice-Chancellor of the UFS, Prof Francis Petersen, opened the discussions with the words, “We need to project ourselves as thought-leaders,” clarifying that the UFS itself is responsible for contributing to local and national public discourse by assembling industry experts to deliberate on imperative topics that affect students, the broader community, and the country in one way or another.  

Editor of the Vrye Weekblad, political analyst, and master of ceremonies for the morning, Dr Max du Preez, introduced the panellists for the first discussion, themed How can we fix the South African economy and create jobs.

According to Prof Philippe Burger, Vice-Dean (Strategic Projects): UFS Faculty of Economic and Management Sciences, South Africa has the highest level of economic inequality in the world. He further explained that the long-term solution to growing the country’s economy is to improve the quality of education, which will result in a higher growth rate for the country.

Chief Economist at Investec, Ms Annabel Bishop, went on to explain that, “South Africa has a worrying de-industrialisation trend, which contributes to the decreased opportunity for decent job creation, essentially contributing to our struggling economy.” This was echoed by Executive Director: Centre for Politics and Research and political commentator, Mr Prince Mashele, who spoke on employing the unemployed. He suggested that South Africa’s youth be trained and equipped with skills so that SA gravitate more towards producing an industrial class in order to build its economy.

Director and Chief Economist of the Efficient Group, Mr Dawie Roodt, concluded the first discussion by highlighting that South Africa needs a GDP growth rate of 2,5% to at least maintain the country’s current unemployment rate and prevent it from getting worse. 

The second panel discussed the establishment of a pro-youth entrepreneurship country, where the Head: Department of Business Management (UFS), Prof Brownhilder Neheh, spoke about bridging the intention-behaviour gap, and further exposing the youth to practical opportunities and teaching them the importance of group mentality as entrepreneurs. Chief Executive Officer: Harambee Youth Employment Accelerator, Ms Maryana Iskander, suggested that foreign direct investment can improve youth employment.

The final panellist to speak during the last half of the discussion, Senior Banker and Transactor: Acquisition and Leveraged Finance Division at Rand Merchant Bank – Corporate Investment Bank, Mr David Abbey, advised on tomorrow’s world of work by saying, “The focus of the workplace should always be on the people, and entrepreneurs should understand the importance of multidisciplinary skills, and emotional and social intelligence, as the future world of work requires a trusted society.”

 


UFS Thought-Leader Series
Programme: 

 

UFS Thought-Leader Series
Panel discussions:

 
 UFS Thought-Leader Series Programme  
 



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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