Latest News Archive

Please select Category, Year, and then Month to display items

Kovsies secure fourth place at 2025 USSA Track & Field Championships

09 May 2025 | Story Vuyelwa Mbebe and Onthatile Tikoe | Photo Hannes Naude

Mthi Mthimkhulu from the University of the Free State, finishing first in the men’s 400-metre race, surpassing NWU runners-up.

The University of the Free State (UFS) athletics team secured a top five slot at the 2025 University Sports South Africa (USSA) Track and Field Championships, earning fourth place at the event, hosted at the Pilditch Stadium in Pretoria from 1 to 3 May.

University athletes from across South Africa gathered for the championships, which is a key fixture on the USSA calendar. After delivering stellar performances across a broad spectrum of events, UFS went up against 21 other participating universities in various track and field categories.

The standout female athletes at this year’s event were Gabriella Marais, Nicola Gibbon, Lizandré Mulder, and Tyla Wasmüth. Marais scored a first-place finish in the women’s 100-metre race and came second in the women’s 200-metre category. Gibbon, who participated in the women’s 400-metre category, scored third position. Mulder took third and first place in the 5 000-metre and 3 000-metre women’s steeplechase categories respectively. Wasmüth placed in the top three in the women’s shot put and discus throw.

The male athletes who stood out by grabbing first-place wins in their respective categories were Mthi Mthimkhulu in the men’s 400-metre race, Molifi Mohlomi in the men’s 800-metre race, and Wernich van Rensburg in the men’s 400-metre hurdles. Dumisani Motloung took third place in the men’s 1500-metre category, and Samkelo Dlamini took second place for the long jump field sports category.

KovsieSport’s Kesaoleboga Molotsane, UFS Sport Manager for athletics, said the UFS coaching staff need to be kept motivated, as they are the first point of contact with their sports stars. “Unlike team sports, we work with individual athletes who require different and various attention. We only need to motivate the athletes to continue working hard, to study hard, and balance out their responsibilities.” She added that individual performances and athlete placements all helped UFS achieve its overall fourth place at the USSA Championships.

Kovsies can look forward to seeing Mthi Mthimkulu at the World Athletics Relays championships, taking place in China this weekend (10 and 11 May). He’ll be representing South Africa and will be the only Kovsie attending.

Mthimkhulu, Marais, and Van Renburg have also qualified for the upcoming World University Games, to be held in Rhine-Ruhr, Germany, in July. Molotsane encouraged fellow Kovsies to support these and other UFS athletes, whose journeys reflect the spirit of Kovsie athletics.

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.

Back

Economic and Management Sciences

Education

Health Sciences

The Humanities

Law

Natural and Agricultural Sciences

Theology and Religion

Open Distance Learning

Business School

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept