Latest News Archive

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

#YouthMonth: UFS makes strides in youth career development

30 June 2023 | Story Valentino Ndaba | Photo Supplied

CareerHub: connecting UFS students to dream jobs

In response to the alarming rate of unemployment facing South Africa's young population, the government has launched various youth development and empowerment projects as part of the Presidential Youth Employment Intervention, aiming to encourage greater youth participation in the economy.

To combat the high rate of graduate unemployment, the University of the Free State (UFS) Career Services in the Division of Student Affairs plans to launch the CareerHub on 3 July 2023. CareerHub is an innovative job portal aimed at revolutionising the job search process and connecting employers with highly qualified UFS candidates. The platform boasts a wide range of opportunities, collaborates with reputable companies, offers advanced search filters, and enables employers to create detailed company profiles to attract top talent. Job seekers can personalise their search criteria and set preferences to streamline their job search.

UFS Youth Month campaign

Highlighting the positive impact of the UFS in youth career development, the institution's Department of Communication and Marketing launched a campaign in June 2023 aimed at showcasing the success stories of alumni who have studied at the university and are now employed by the institution.

One such success story is Katleho Lechoo, who joined the UFS as an undergraduate student and is now a football administrator in KovsieSport. Lechoo's journey exemplifies his commitment to excellence, having served as the President of the Institutional Student Representative Council during his time as a student. Reflecting on his experiences, Lechoo expressed gratitude for the opportunities to contribute positively and to make a difference in the UFS community.

“I was recently elected as the youngest Institutional Forum member at the University of the Free State. A position I look at and remind myself that – apart from my ordinary position at the university – I also have an opportunity to contribute and influence the space positively and otherwise for its benefit. I wake up knowing that I have yet another day to do good unto others as I would expect from them. And to sum up my experience thus far? As Roy T Bennett simply puts it: ‘Be thankful for everything that happens in your life; it’s all an experience’,” said Lechoo.

Annelize Kruger shared Lechoo’s sentiments. Kruger graduated in 2020 with a Master of Science in Occupational Therapy and now serves as a lecturer in the Department of Occupational Therapy. She credits the UFS for providing her with a solid foundation to excel in her profession and to contribute to the training of future occupational therapists.

Maximising impact through the SDG lens

The introduction of CareerHub aligns with the UFS' Vision 130 strategy, which aims to maximise societal impact and contribute to the development of the Free State and South Africa. The platform addresses a pressing local issue – youth unemployment – by leveraging the United Nations’ Sustainable Development Goals (SDGs) as a framework for assessing societal impact.

SDG Goal eight, focusing on Decent Work and Economic Growth, highlights the importance of providing young people with opportunities for decent jobs. This involves investing in quality education and training, matching skills with market demands, ensuring social protection and basic services, and promoting equal opportunities for productive employment, irrespective of gender, income level, or socio-economic background.

WATCH: UFS ends Youth Month on a high note with a performance from the 1992 film Sarafina!

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