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01 August 2023 | Story NONSINDISO QWABE | Photo SUPPLIED
Apartheid Studies, A Manifesto Book Launch
Prof Nyasha Mboti launched his book, Apartheid Studies: A Manifesto, on the UFS Qwaqwa Campus on 25 July 2023.

in a perpetual state of disaster and creating a normalised life, even if it is built on anomalous arrangements, Prof Nyasha Mboti launched his newly published book, Apartheid Studies: A Manifesto, on the UFS Qwaqwa Campus on 25 July 2023.

Prof Mboti is an Associate Professor and Head of the Department of Communication Science at the University of the Free State and is the pioneer and founder of Apartheid Studies, a new interdisciplinary field of study from the Global South, which utilises the notion of ‘apartheid’ as a paradigm by which to understand the confounding persistence and permanence of harm, oppression, and injustice.

Oppressive systems persist in modern South Africa

Making reference to the pass laws that were a dominant form/tool of oppression and segregation during the country’s apartheid system, he said apartheid created a “paradigm of life where things that aren’t supposed to go on, go on. 
Life has to go on even in oppression. People have the capacity to live with harm, and apartheid banks on people’s capacity to go on”.

The daring book posits itself as a first-of-its-kind authoritative study of the phenomenon of apartheid, shedding light on the continuing impact of apartheid decades after its formal abolishment and exploring the idea that while it was intended as a temporary phenomenon, it became deeply ingrained and normalised, persisting in various forms today.

“What apartheid is, is a temporary phenomenon that has become permanent. That is my argument. This book is an attempt to leverage how we live with harm as a way of doing something about it and hopefully putting an end to it. If you can go on one day living in harm and the next, before you know it, four decades of living under Apartheid from day to day have passed. Until we understand it, it persists,” he said.

By asking whether one would queue for a dompas, Prof Mboti challenged the audience to reflect on how oppressive systems persist when normalised, even when inflicting profound harm. 
“Would you queue for a dompas? If your answer is yes, then for me, that is an indication that Apartheid persists. Harm persists. Until we understand it, it persists.”

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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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