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UFS wins top awards at the 2024 Mace Excellence Awards

05 December 2024 | Story Dr Cindé Greyling | Photo Kaleidoscope

MACE Winners 2024 — From left to right: Burneline Kaars (Head: Employee Wellness and Organisational Development), Dr WP Wahl (Student Life Director), Linda Greyling (Senior Officer: Special Projects, Student Recruitment Services), Gerben Van Niekerk (Senior Officer: Kovsie Support Services), Malia Maranyane (Senior Officer: Undergraduate Marketing, Student Recruitment Services), Nomonde Mbadi (Student Recruitment Services Director), and Susan Van Jaarsveld (Senior Director: Human Resources).

On 28 November 2024, the University of the Free State (UFS) did it again – reigned as champions at the annual Marketing, Advancement and Communication in Education (MACE) Excellence Awards and walking away with two of the top awards: the MACE Award for Outstanding Research and the Severus Cerff Award for Consistent Excellence.

KovsieX was named the overall winner of the MACE Award for Outstanding Research. This award is made to the entry with the highest score in research, clearly demonstrating how research has supported the strategic objectives of the institution and the project. KovsieX is a multiplatform approach designed to leverage the strengths of diverse media channels. This digitalisation aligns with Vision 130, leveraging emerging technologies to enhance teaching and learning quality and efficiency of non-academic support structures and systems.

The UFS’ entries were of such high quality that the university won the sought-after Severus Cerff Award for Consistent Excellence. This award is based on the number of entries entered by an institution and the number and level of those entries winning awards. The award is therefore made to the institution with the highest success ratio.

Furthermore, the UFS Matriculant of the Year event received a Silver Award – entries scoring 5.75 or higher earn a Silver Award, placing this event among some of the top achievers in the events category. Three UFS entries received Gold Awards and were the winners in their respective categories: KovsieChat (Digital Channels), 2024 Women’s Day Breakfast (Events), and KovsieX (Stakeholder Engagement Campaigns). This is a magnificent achievement for the UFS.

"Winning a MACE award at this early stage is proof that KovsieX is not just meeting national standards – it’s setting them. If we can achieve this level of excellence now, imagine how we’ll compete on the global stage when the project is fully realised,” says Gerben van Niekerk, Student Media Manager.

Lacea Loader, Senior Director: Communication and Marketing and Coordinator of the MACE Excellence Awards, explained that a record number of entries were received for the Excellence Awards this year. “We are ecstatic about the direction of communication at the UFS and that the university has been able to maintain the quality of its entries in recent years,” says Loader.

The MACE Excellence Awards takes place annually as part of the MACE National Conference, recognising and celebrating excellence and the achievements of specialists and practitioners in marketing, advancement, and communication in the higher-education sector. This year, the Cape Peninsula University of Technology (CPUT) hosted the conference from 27 to 28 November 2024.

In 2023, the UFS won 11 awards, including the Chairperson’s Award of Excellence.

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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