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21 October 2019 | Story Thabo Kessah | Photo Tshepo Moeketsi
Qwaqwa research research
Mamokete Mokhatla (SRC: International Students Council), Pulane Xaba (Assistant: Afromontane Research Unit), Dr Hagenmeier, Morena Ntsane Mopeli, Prof Pearl Sithole, Chief Mlati, Kanego Mogotsi (Internationalisation: Qwaqwa Campus), and Prof Joseph Francis.

Communities are beginning to wonder if universities exist for themselves or for their communities. This is the view shared by Prof Pearl Sithole, Campus Vice-Principal: Academic and Research, during the opening of the two-day Travelling Seminar that was recently hosted on the Qwaqwa Campus. 

Research in communities

“This event is well-placed, considering what many communities are currently going through. We must ask ourselves what we are doing with and for our communities. We must be careful to not only reap data from them, but to be scientific in a way that accommodates our communities and allows the African and indigenous agenda into the world of science,” she added.

Providing background to the concept of homestays, the Director: Institute for Rural Development at the University of Venda, Prof Joseph Francis, acknowledged the role played by communities in research.

 “This seminar seeks to develop a testable framework for homestays; a concept enabling postgraduate students to be placed with rural families while conducting research in the area. It is also aimed at giving birth to a vibrant, community-based rural and regional development network connecting grassroots communities, business, government, and non-governmental stakeholders,” he said.

“We do not only train students for local deployment and within national borders. It is important to produce an ‘all-weather’ graduate who stands out wherever they are. Graduates must ask themselves, ‘what in me stands out among the rest?’ As a student and researcher, never see yourself as being confined to the space where you are,” he added.

Students as ambassadors

Cornelius Hagenmeier, Director: Office of International Affairs at the University of the Free State, said for internationalisation to work, it has to be inclusive and create student ambassadors. “As this seminar will show, our networks of stakeholder communities go beyond the national confines and borders. We must strive, through this project, to create ambassadors of the university, of communities, of the broader South Africa and Africa,” he said.

Participants in the seminar were academics and postgraduate students from both the Universities of the Free State and Venda. Also present were community and traditional leaders from Qwaqwa and the Vhembe District in Limpopo. 

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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