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10 September 2019 | Story Rulanzen Martin | Photo Rulanzen Martin
Lingustics
Delegates at the workshop were provided opportunities that many larger conferences do not offer.

The growing body of work examining microvariation in African languages prompted Dr Kristina Riedel and Dr Hannah Gibson, from the University of Essex and research fellow, to work on a research project, “Variation in Sesotho and Setswana as spoken in the Free State”, to document the dialectal variation in the languages as it is spoken in the province. 

“Dr Gibson and I have a joint research project which is funded by a Newton British Academy mobility grant,” says Dr Riedel, Head of the Department of Linguistic and Language Practice at the University of the Free State (UFS).

The duo hosted a workshop on morphosyntactic microvariation (small structural differences that can be observed between closely related languages or dialects) on the UFS Bloemfontein Campus, as part of the Newton Fund research project.  

Research focus on dialectal variation 

Dr Riedel says there has been some linguistic work on both of these languages. “But for Sesotho, linguists have noted that there is no dialectal variation. This seems hard to believe given the size of the population who speak the language,” she says. 

They are looking at speakers in the Free State province for differences in both languages. Speakers themselves also report awareness of dialectal differences and variation between different regions. “We’re also interested in whether they have influenced each other – particularly in places where people speak both of these languages on a day-to-day basis, such as Thaba ’Nchu and Bloemfontein,” Dr Riedel says.

Dr Riedel believes that in the context of an African university it is important to contribute to the development, teaching and support of African languages. “Research on African languages can play an important part of this picture. Furthering our knowledge and understanding of African languages from a linguistic perspective also contributes to our understanding of the world’s languages and linguistic diversity.” 

Workshop creates space for training and skill sharing

The aim of the workshop was to bring together researchers, students and language practitioners to “provide them with some of the insights and training that is helpful when looking at morphosyntactic microvariation”, Dr Riedel says.

The workshop was conducted in two sets. At the first workshop the emphasis was on training and sharing of skills and the second part focused on more research-related presentations. 

The workshop, which took place on 19 July 2019, was attended by delegates from numerous local institutions (Rhodes University, University of the Western Cape and Stellenbosch University) as well as universities in the rest of Africa including the University of Malawi, Dar es Salaam University College of Education and Makerere University in Uganda. 

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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