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23 October 2023 | Story Samkelo Fetile | Photo Supplied
The finalists in the 2023 Matriculant of the Year competition

In a culmination of academic prowess, leadership, sportsmanship, cultural achievements, and community engagement, the University of the Free State (UFS), Matriculant of the Year competition for 2023 has declared Michael de Bruyn, the head boy of Futurum Akademie in Tadcaster near Jan Kempdorp in the Northern Cape, as the 42nd winner. This prestigious event, in collaboration with Netwerk24 and Volksblad, witnessed the participation of 66 outstanding matriculants from eight provinces.

The journey to success for these matriculants was not only a test of academic acumen but a comprehensive evaluation of their leadership skills, involvement in sports and cultural activities, and commitment to community projects. The top 25 entrants were honoured with bursaries from the UFS, a testament to the institution's dedication to nurturing talent and fostering academic excellence.

The stakes were raised even higher for the top 14 finalists, who gathered at the Monte Bello Estate near Bloemfontein for the final judging. This phase involved personal interviews and group sessions, challenging the finalists to showcase not only their intellectual capabilities but also their interpersonal skills and collaborative spirit.

Sponsors and Supporters

Despite the economic challenges, the Matriculant of the Year competition has continued to thrive, thanks to the unwavering support of its sponsors. The final round judges, representing the Kovsie Alumni Trust, Absa, Mazars (official auditors), and Pick n Pay Preller Walk, played a crucial role in determining the ultimate winner.

In addition to the overall winner, the Kovsie Alumni Trust went above and beyond by sponsoring two special prizes for exceptional achievements in culture and sports. Ilke de Klerk of Goudveld-Hoërskool in Welkom received the sports accolade for her outstanding accomplishments in athletics and netball. Recognising cultural excellence, two accomplished pianists, Karli Janeke from St Dunstan’s College in Benoni and Elizabeth Joubert from C & N Meisieskool Oranje in Bloemfontein, were honoured for their exceptional contributions.

Culture and Sports Recognised

The spirit of the competition extends beyond academic and extracurricular achievements, acknowledging the vibrant personalities that contribute to a well-rounded community. Renienke van Heerden from Jim Fouché High School in Bloemfontein was voted as the sparkling personality, showcasing that the matriculants of 2023 are not only accomplished in their fields but also possess a captivating and engaging presence.

As the 42nd winner of the Matriculant of the Year competition, Michael de Bruyn stands as a beacon of inspiration for future generations and symbolises the UFS's commitment to recognising and nurturing excellence in all its forms. The competition serves not only as a celebration of academic achievement but also as a platform for the holistic development of young minds, moulding them into leaders, athletes, artists, and compassionate community members.

Nomonde Mbadi, Director at the Department of Student Recruitment Services, extends her congratulations to the finalists of the Matriculant of the Year 2023 competition. “I commend the learners for their outstanding achievements, and I do acknowledge the potential they carry for the future. May their accomplishments serve as inspiration for many others to pursue excellence and contribute positively to the world.”

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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