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05 June 2025 | Story Vuyelwa Mbebe and Aimee Barlow | Photo Supplied
KovsieCricket
From left to right: Xander Snyders, President: Free State Cricket Union; Rocky le Roux, Head of KovsieCricket at the UFS; and Donavin George, Mangaung Cricket Association Chairperson.

The University of the Free State’s (UFS) KovsieCricket club was honoured with two of the most significant awards at the recent Mangaung Cricket Association Annual General Meeting (MCA AGM).

First, KovsieCricket was crowned MCA Premier League Champions, marking a remarkable twelfth consecutive title in the region’s top league. Later, the club was named the Best Run Cricket Club in the Free State, a recognition that goes beyond match victories.

The MCA AGM, which reflects on the regional cricketing year, this year included key updates from MCA Chairperson Donavin George, a review of the season’s performance, and the election of the executive committee for the new term. The AGM also celebrates excellence, dedication, and growth within the sport during the preceding year.

Rocky le Roux, Head of Cricket at the UFS, reflected on the evening’s achievements by attributing them to the unified effort of everyone involved in the club. “These accolades are the result of unwavering dedication from our players, coaches, management, and support staff,” he said. “Our student-athletes lay the foundation with their performances, but none of this would be possible without the people working tirelessly behind the scenes. Teamwork, long-term planning, and a shared vision have allowed us to achieve this consistency.”

The Best Run Cricket Club award serves as a powerful validation of the systems and values in place at KovsieCricket, Le Roux said, adding that awards of these types are not only a source of pride but are instrumental in attracting top talent from around the country. “They show young cricketers that KovsieCricket is a place where they can grow, compete, and thrive – not just on the field, but as professionals and leaders.”

With regional dominance firmly established, KovsieCricket’s sights are now set on national excellence. Le Roux believes that becoming the best cricket club in South Africa is a realistic goal, but one that will require strategic growth in several key areas. He emphasised the need for permanent, experienced coaches to guide development, an even stronger recruitment network, facilities that meet national standards, and a culture of belonging that inspires players to invest fully in the club. He also stressed that consistent exposure to higher levels of competition and a focus on mental resilience will be critical in the journey ahead.

As KovsieCricket celebrates these milestones, Le Roux extended heartfelt gratitude to those who make the journey possible. He acknowledged Jerry Laka, Director of KovsieSport at the UFS, the KovsieSport team for their unwavering support, the players and coaches for their commitment to excellence, and Francis Marais, Supervisor of the sports grounds and grounds staff, for consistently preparing top-quality pitches. He also thanked the Mangaung Cricket Association for their continued efforts in running competitive leagues and providing the resources that help the game thrive in the Free State.

With another successful season behind it, KovsieCricket looks to the future with confidence and ambition. Trophies alone do not define the legacy they are building – rather, their culture of excellence, community, and purpose sets the standard for university cricket in South Africa and beyond.

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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