Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
18 July 2024 | Story VALENTINO NDABA | Photo SUPPLIED
Nelson Mandela Month 2024
Celebrating #UFSMandelaMonth2024: Building a brighter future through community and care.

Mandela Month at the University of the Free State (UFS) is a time to honour Nelson Mandela's legacy through reflection, action, and community engagement. Guided by Vision 130, UFS aims to make a profound societal impact by fostering sustainable relationships and supporting societal development.

Community Engagement Indaba

As South Africa celebrates Mandela Month, the Directorate of Community Engagement hosted the Community Engagement Indaba at the Bloemfontein Campus from 10-11 July 2024. This year's theme was “Building Self-reliance, Self-sufficiency, and Self-sustainable Livelihoods for Entrepreneurship”. 

The Indaba was a vibrant platform for staff, students, and community members to exchange knowledge and skills on how to implement the objectives of our Engaged Scholarship strategy and policy.

This was an opportunity to engage in education, training, and networking with experts from various disciplines. Topics of discussion included:

• Self-sufficiency, self-reliance, and self-sustainable living
• Contextualising curriculum to respond to societal impact
• Entrepreneurship
• Personal development and transformation
• Subsistence farming
• Growing and manufacturing of cannabis products
• Nutrition and health, food security

Helping future educators dress for success

Mandela said: “Education is the most powerful weapon you can use to change the world.” This Mandela Month, the Teaching Practice Directorate supported fourth-year and Postgraduate Certificate in Education (PGCE) students who lack professional clothes for their teaching practice, impacting their confidence and hampering their first impressions.

The Faculty of Education of the Qwaqwa Campus is conducted a donation drive for formal clothing and workwear to help our UFS-produced aspiring educators enter the world of work with enthusiasm and confidence.

Soup kitchen at HCYCC

On Mandela Day, the Faculty of Theology set up a soup kitchen at the Heidedal Children and Youth Care Centre. This event is an initiative aimed at providing nutritious meals to children and youth, fostering community engagement.

It’s in your hands: Food Environment Programme

The ongoing Food Environment Programme tackles student food insecurity, aiming to create a healthy food environment. Says Annelize Visagie from the Food Environment Office: “The Food Environment Programme is designed to address the many dimensions of the food environment; assisting students who suffer from food insecurity and hunger is part of the overall programme. The University of the Free State has previously identified student food insecurity and hunger as a significant problem, with as many as 59% of students identified as not knowing where their next meal will come from. In addition, they have recognised that food insecurity has added stress to students’ lives which has a negative impact on their studies.”

The programmme includes the following initiatives:

No Student Hungry Programme: Provides one balanced meal per day.
• Food Parcel Programme: Distributes food parcels with non-perishable items.
• Community Gardens: Enhances campus food security in collaboration with Kovsie ACT and the Centre for Sustainable Agriculture.

Eat&Succeed: Provides valuable insights, practical tips on making affordable and nutritious meals.

Click to view documentClick on the email to donate to these initiatives or call +27 51 401 3258.

Join us in making a difference and showing our commitment to care as we celebrate Mandela Month by at the UFS. Together, we can honour Nelson Mandela’s legacy of service and societal development. Every Day is Mandela Day at UFS.

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.

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