Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
26 January 2024 | Story Charlene Stanley | Photo Supplied
Mother tongue pride
UFS staff members and students celebrating learners’ achievements at the Philippolis Public Speaking Competition. Pictured are Jani de Lange and Likiledi Mokoena; back: Lusenda Machini, Kevin Cloete, Susan Lombaard, Tinotenda Magaya, and Mabatho Ntsieng.

A unique public speaking competition hosted in the small town of Philippolis has done wonders to not only build confidence in young mother tongue speakers, but to broaden the cultural perspectives of an entire community.

The Philippolis Public Speaking Competition has been hosted by the Unit for Language Facilitation and Empowerment (ULFE) and the Department of Community Engagement (CE) at the University of the Free State (UFS) since 2013. What started as a small competition for learners in this Southern Free State town, has grown into a much-anticipated annual event, drawing participants from schools in neighbouring towns such as Trompsburg, Bethulie, Jagersfontein, Fauresmith, Gariepdam, and Reddersburg.

Talking about heritage

Every year, learners from Grades 6 to 9 are invited to present a speech on a specific heritage-related topic. Participants are encouraged to speak in their mother tongues – which in this region are mainly Afrikaans, Sesotho, Setswana, and isiXhosa.

Interpreters from the UFS ULFE ensure that the audience can follow each speech. For the past few years, deaf learners from the Bartimea School for the Deaf and Blind in Thaba Nchu and Re Tlameleng School for the Deaf in Kimberley have made welcome appearances, assisted by UFS sign language interpreters.

“This is a wonderful opportunity to teach our young people about acknowledging and respecting different opinions – but also to consider perspectives from differently abled individuals,” enthuses Anita Muller, a teacher from Bergmanshoogte Primary School, who has been involved in the competition from the very beginning.

“Learners in rural areas so often believe they don’t have a voice, and that nobody is interested in their opinions,” she continues.

“This competition does wonderful work in building feelings of self-worth and self-confidence. And it is usually a welcome opportunity for our broader community to get together, learn about one another’s cultures, and change perspectives.” 

Embracing individuality

Jani de Lange, UFS Lecturer in South African Sign Language and Deaf Studies, and one of the coordinators of the project, says she was excited to note that the master of ceremonies of last year’s competition was a former participant in the very first event.

“This project gives me a sense of pride and reminds me why I am part of the UFS. It has been a real eye-opener to see how important it is for those involved,” she says.

“It encourages our young people to embrace their individuality, as we celebrate the cultures and traditions of all those who participate,” says Mabatho Ntsieng from the Engaged Scholarship Office. She says young people often lose sight of where they come from. By giving them opportunities to research topics linked to their heritage and then present their speech in their mother tongue, they can return to their cultural roots.

“It is wonderful to see how proud these participants are and the impact it has on the schools and the community.”

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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept