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16 August 2023 | Story Angela Stott | Photo Supplied
Participants of the UFS Creative Clubs Programme
23 grade 10 participants in the UFS Creative Clubs Programme proudly pose with their awards.

All 23 grade 10 learners taking part in the University of the Free State’s (UFS) Creative Clubs Programme were awarded medals at the Bloemfontein regional Eskom Expo for Young Scientists (EYS) competition from 3 to 5 August 2023.

The learners, who attend Bloemfontein township schools, had been working on their projects for over a year as part of the Creative Clubs Programme, which is run by the UFS Faculty of Education. Guided by veteran Expo facilitators Dr Angela Stott and Coretha van den Heever, they attended 30 sessions on the UFS South Campus, with a total of 140 hours of face-to-face contact time, coupled with many hours of individual work at home, to prepare for the competition.

Their hard work paid off handsomely, with all 23 learners (who worked on 21 projects) achieving medals: six bronze, seven silver, and eight gold. Additionally, five of the learners won best-in-category awards, three won SA Youth Water prizes, and three were shortlisted for the international EYS competition.

“As an introvert, I found it difficult to explain my project to people, but I’ve developed communication skills and confidence through Expo,” said 15-year-old Nicolas Hugo, from Kagisho Secondary School, whose project won a gold medal. Nicolas studied water pollution levels at two inflow sites in the Bloudam catchment area, as well as the dam itself and its outflow, showing the astounding cleaning effectiveness of water reeds.

In addition to his gold medal he won the prize for the best project in his category, a special award in the category of water projects, and for the Best Development Project.

The UFS has a strong commitment to community engagement, and has been working with township schools throughout the province via school-university partnerships for over a decade. The 2023 Bloemfontein EYS competition celebrated the legacy of these partnerships not only through the 23 learners who were directly involved in the UFS programme over the past year, but also through the participation of 14 learners from two schools (Senakangwedi and Setjhaba Se Maketse) in Botshabelo as a direct result of the UFS’s work in those schools in the past. Before UFS ended its partnership with these schools, learners who had been involved in Expo programmes conducted by Dr Stott established science clubs in their schools. These clubs have continued to operate years after UFS exited the schools and the founding learners matriculated. This year these clubs yielded the winning project, Solar Power Stand, by Simthembile Hlahliso and Kabelo Sekoere from Senakangwedi High School.

Many of the learners said they have learned important skills through this process. “I didn’t know how to use a computer, but now I’m so good,” said Sylvia Hlangabeza, who won a gold award.

“I’m so proud of her, I cried,” said Sylvia’s proud mother.

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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