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Kovsies crowned 2024 Varsity Netball champions after thrilling extra-time win

08 October 2024 | Story Leonie Bolleurs | Photo Francois van Vuuren, iFlair

UFS the 2024 Varsity Netball Champions — In a high-stakes showdown, the Kovsie netball team secured its fifth Varsity Netball title, edging out the University of Johannesburg (UJ) with a final score of 58-55.

After another nail-biting game in the 2024 Varsity Netball Tournament finals, Kovsies beat the University of Johannesburg (UJ) 58-55 at the Callie Human Centre on the Bloemfontein Campus of the University of the Free State (UFS) on 7 October 2024, earning them the title of 2024 Varsity Netball champions.

In an electrifying atmosphere – with strong support from fans in the stands – the Kovsie team, captained by Refiloe Nketsa, delivered a stellar performance, securing their fifth title. The game was tied 47-47 at full time and went into extra time, showcasing the team’s will and determination to win.

“Congratulations to our netball team for its fantastic performance not only during the final, but also throughout the tournament. The final was an amazing display of resilience, and we are proud of what the team achieved. I salute our champions on behalf of the entire university community. Under the leadership of the head coach Burta de Kock, the rest of the coaching staff, and captain Nketsa, the team worked hard, and their courage and commitment paid off,” said Prof Anthea Rhoda, acting Vice-Chancellor and Principal of the UFS.

“We would also like to acknowledge and thank the staff of KovsieSport under the leadership of Jerry Laka, Director of KovsieSport, for their significant contribution to the success of the team,” added Prof Rhoda.

Playing with heart and tenacity

Although the UFS started as favourites – having won the title in 2013, 2014, 2018, and 2021 – UJ played with heart and tenacity, fighting fiercely to claim the win. Both teams pushed their limits, with Kovsies leading by two points in the first few minutes. The score at the end of the first quarter was a close 13-12 in favour of the UFS.

In the second quarter, UJ fought back to close the gap, but Kovsies pulled ahead, leading by three points. They ended the quarter with Kovsies at 23 and UJ at 21. The third quarter saw the teams neck and neck, ending 35-34 in Kovsies’ favour. UJ briefly took the lead in the fourth quarter, but Kovsies rallied, reclaiming advantage and breaking through a tie of 47-47 to secure a victory of 58-55 in extra time.

Supporting the team from the side was head coach De Kock, Spar Proteas captain Khanyisa Chawane, Proteas vice-captain Karla Pretorius, team manager Ané Retief – who is part of the Protea squad that will represent South Africa at the Fast5 World Series in New Zealand in November, Sikholiwe Mdletshe, analysing coach, and Jason Carlisle, conditioning coach.

Coach De Kock, reflecting on the UFS team’s victory in the Varsity Netball finals, said, "We are very excited and grateful for God’s blessings and grace. We have an incredible group of players who are fully committed to the system. They understood their responsibilities on the court, and it was amazing to see that through. The players are also in top physical condition. We have a support framework within KovsieNetball, with everyone playing a role in helping the players succeed." She is also grateful to KovsieSport and the UFS for their hard work in preparing the venue and ensuring that the finals were a success.

‘Our players stood together’

De Kock attributed the team’s success to the unity they displayed on the court. "No player panicked when we lost the ball. Our players simply stood together and regained possession. We’re grateful for the incredible character the players demonstrated tonight."

With Kovsies claiming the title, the UFS this year reigns as Varsity Netball as well as Varsity Cup rugby champions. In April, the UFS Shimlas beat the UCT Ikeys 45-42 in the final on Shimla Park in Bloemfontein.

• Player of the Match: Refiloe Nketsa (UFS Kovsies captain)

• FNB Player of the Tournament: Rolene Streutker (UFS Kovsies)

• The team that played in the finals are: Liamé de Lange, Demi-Leigh de Jager, Megan Erasmus, Xandri Fourie, Elri Groenewald, Reratilwe Ke-Morena Letsoalo, Asanele Malgas, Owami Mohuli, Refiloe Nketsa, Rolene Streutker, Charné van Vuuren, Karla Victor.

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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