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15 July 2020

The COVID-19 pandemic has exposed the fracture lines in societies worldwide. South Africa is no different. The poor are less able to protect themselves from the danger posed by the virus. Workers in factories, mines, and the service sector went back to their places of work following the lifting of the strictest lockdown measures, while office workers, typically better paid, can generally work from home. Living conditions in informal settlements make social distancing all but impossible, while the middle class can largely stay at home and stay safe to a much larger extent. With many businesses shutting down, downsizing or rethinking their business models, it is often small and medium, as well as informal sector businesses that are most affected.  

The impact of COVID-19 comes on the back of a society and economy that was already under significant pressure following years of low economic growth and poor government performance. Many commentators have already questioned the social compact South Africans made in the mid-1990s, which marked the end of the apartheid regime. These divisions have become more glaring, with some civil society organisations considering challenging the Minister of Finance’s adjustment budget in the Constitutional Court, because the budget might result in a roll-back of the progressive realisation of the socio-economic rights mandated in the Constitution.

In this first of four webinars, academics from the UFS as well as invited experts reflect on the constitutional commitment South Africans made to one another two and half decades ago. Is it time for a new deal? Should we collectively recommit ourselves to our existing deal? Do we interpret that deal in the same way today as we did more than two decades ago? How does the economic reality we face, particularly in the aftermath of the COVID-19 crisis, affect that deal? What are the economic realities we face, and whose are they? And how should we think about human development in the context of our deal? 

Come and join us from 14:00 to 15:30 on 21 July. 

RSVP to Sibongile Mlotya at MlotyaS@ufs.ac.za no later than 19 July, upon which you will receive a Business for Skype meeting invite.

Speakers:
Prof Danie Brand on ‘New deal’ or collective recommitment? The Constitution under COVID-19 and beyond

Prof Melanie Walker on Human development and the capability approach in COVID-19 times

Prof Lochner Marais on Reflections on continuities and discontinuities after COVID-19

Prof Philippe Burger on Viewing the realisation of socio-economic rights in a post-COVID-19 South Africa through an economic lens

 

Please also mark the following dates in your diaries for the second through fourth Reflection webinars:
Gender Inequalities and Gender-based Violence 28 July 14:00-15:30
The quality of our democracy under COVID-19 and beyond 13 August 14:00-15:30
Urban living post-COVID-19 27 August 14:00-15:30

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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