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22 February 2018 Photo Sonia Small
Histories of whites beyond whiteness the focus of inaugural lecture
Prof Hendri Kroukamp, Acting Vice-Rector, Academic, Prof Neil Roos, Professor in the Centre for Africa Studies, and Prof Heidi Hudson, Acting Dean: Faculty of The Humanities.

Growing up in a small milling village on the Natal South Coast sugar belt from the mid-1960s to the early 1980s, Prof Neil Roos was exposed to poverty, privilege, liberalism, and racism. He carved out a promising academic career at the University of Natal, initially on white communists and the anomaly they represented in South African society - researching their histories in the Springbok Legion, a radical wartime kind of ‘trade union’ for soldiers.

During his doctoral work with the University of the North-West, he shifted his attention from the small number of whites who defied segregation and apartheid, to the large numbers who did not, and he began to engage with historical and comparative approaches to race. He was also interested in the sense of comradeship shown by white war veterans in the village where he lived, which included his own father, and used this interest to investigate the kinds of networks white veterans developed, as well as their role in movements like the war veterans’ Torch Commando and the Memorable Order of Tin Hats (MOTH). He used this history to show how white people were able simultaneously to ’oppose’ apartheid, yet accept its core premise of racial supremacy.

Possibility, dismay, and challenge

During his inaugural lecture on 14 February 2018 at the University of the Free State (UFS), Prof Roos addressed issues that delivered new insights under his fresh and rigorous research approach. “I intended to plot how histories of whites in South Africa have been written during several big historiographic moves, with sub-titles ‘possibility’, ‘dismay’ and ‘challenge’.” In the first section, ‘possibility’, he dealt with the vibrant 1980s-vintage South African social history, arguing that social histories of whites were at looked in a rather simplistic way. In ‘dismay’ he looked at the rise of cultural studies of whites in the new millennium which, he argued, tend to be self-absorbed, ahistorical and outside of any rigorous critique of society as a whole. In ‘challenge’ he proposed that contemporary political concerns, notably demands of the decolonisation movement, should inspire a new, activist, anti-racist history of race which draws on some of the strengths of the earlier social history movement as well as some of the techniques developed during the 1990s and the millennium to understand power, ideology and representation.

A new approach

Prof Roos proposes that histories of whites must more properly be histories of race. “This history must show the production of racial categories, reflect on the moral historiographies of being white, and the kinds of dehumanisation this demanded. It must also identify how and where whites transgressed, defied, opposed, or were simply docile. It must be emphatically anti-racist, and must absolutely avoid the possibility of apologia, of trying to gloss over or present with a human face histories of whites under colonialism, segregation and apartheid.” He also argued for an historical approach to present-day iterations of racial identity occurrences of racism, racial supremacy and racial violence.

“I intended to plot how histories of whites
in South Africa have been written during
several big historiographic moves.”

In arguing for the democratisation of studies about whites, Prof Roos argued that it is inconceivable that only whites write about histories of whites. He pointed out that black scholars bring fresh insights to the study of race, and of whites, and appealed for funding to be made available to black scholars pursuing these angles.  

Prof Roos, who is the author of Ordinary Springboks: White Servicemen and Social Justice in South Africa, 1939-1961, has held fellowships at the University of Chicago, the University of Technology Sydney, Harvard and Notre Dame. He is a professor in the International Studies Group and co-directs the Prestige Scholars’ Programme. He is the author of Whites in Apartheid Society, due for publication by Indiana University Press in 2018.

 

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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