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24 July 2019 | Story Valentino Ndaba | Photo Valentino Ndaba
Dr Lazlo Passemiers
Dr Lazlo Passemiers spent six years conducting research across three continents.

A keen interest in unravelling transnational histories of 20th-century Southern Africa led Postdoctoral Research Fellow Dr Lazlo Passemiers to spend six years conducting extensive research across three continents. Dr Passemiers sifted through archives in Africa, Europe, and the US in order to convert his PhD thesis into a monograph.

It was on 17 July 2019 that the fruits of Passemiers’ labour were officially launched by the International Studies Group at the University of the Free State’s Bloemfontein Campus. His book, Decolonisation and Regional Geopolitics: South Africa and the ‘Congo Crisis’, 1960-1965, offers an important shift in the historiography of the Congo Crisis. It creatively centres African involvement in the debate by examining this event from a regional geopolitical angle. 

Going back in time 

By providing a three-fold perspective that examines decolonisation, apartheid diplomacy, and Southern African nationalist movements, the book offers a rounded picture of South African involvement in the Congo Crisis.

Dr Passemiers’ fascination with the transnational dynamics of Southern Africa’s history has rippled into two new research projects that respectively explore “the connection between decolonisation and white flight in the region as well as the transnational support networks of liberation movements”.

Finding the missing pieces of the puzzle

Prof Christopher Saunders, Emeritus Professor at the University of Cape Town, commended Dr Passemiers’ historiographical contribution: “He has identified a major gap in the literature and he has filled it admirably by looking across the spectrum.” As Prof Saunders noted, “what has been missing in the literature is the African angle.” 

Literature’s role in transformation

The process of undoing the profound impact of colonialism on society is long and difficult and important in this process is a clear understanding of history, which Dr Passemiers’ book enhances.

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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