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05 August 2024 | Story Precious Shamase | Photo Yonela Vimba
commuter lounge Qwaqwa Campus
The new commuter lounge is designed to provide off-campus students with a comfortable and conducive environment for studying, socialising, and relaxation.

The University of the Free State (UFS) Qwaqwa Campus recently celebrated a significant milestone with the preliminary opening of its new commuter lounge. This dedicated space is designed to provide off-campus students with a comfortable and conducive environment for study, socialising, and relaxation.

A diverse crowd gathered to witness the historic event, including university staff and students from the off-campus community.

In his opening remarks, Vice-Principal: Support Services, Teboho Manchu, expressed his enthusiasm for the project. He highlighted the challenges previously faced by off-campus students who lacked adequate study spaces on campus. The new commuter lounge addresses this issue by offering a welcoming environment where students can connect, collaborate, and engage in intellectual discourse.

Quintin Koetaan, Senior Director: Housing and Residence Affairs, shared insights into the journey of bringing the lounge to fruition. He emphasised the collaborative efforts of various stakeholders and expressed gratitude to Coke for its generous sponsorship through the Alumni Office. The lounge also features a laundry facility, a valuable addition for students residing off campus. “Sitting here today really gives me goosebumps, because it is a dream come true for quite a number of people. This student lounge reflects an identity of what it is to be a Kovsie. It reflects us as the university, which is underpinned by the principles of diversity and accessibility. We want to give every one of our students access to a facility they can feel proud of, a facility where intellectual engagement can happen outside of class. This is a dream in terms of Vision 130, which demands of us to create these kinds of spaces that allow for positive interaction to encourage academic success,” expounded Koetaan.

A member of the Student Representative Council (SRC), Potela Zimvo, expressed the SRC’s appreciation for the new facility. He emphasised that the commuter lounge symbolises the university's commitment to inclusivity and support for all students, regardless of their residence status. The lounge is expected to foster a strong sense of community among commuter students and provide a much-needed space for social interaction and academic engagement. “To the university and campus management, thank you for recognising this initiative and providing the necessary resources. We hope that this place will become a central hub for our commuter students and that it will establish a sense of belonging for them. We appreciate the fact that this commuter lounge is equipped with laundry facilities, which will be helpful to our commuter students amid the water and electricity crisis that the Qwaqwa community faces,” said Zimvo.

The official opening ceremony of the commuter lounge is scheduled for later in the year, when it will be officially opened by the Vice-Chancellor and Principal of the University of the Free State, Prof Francis Petersen. However, the university has decided to make the facility available to students immediately to allow them to benefit from the amenities.

This new commuter lounge is a testament to the university's dedication to creating an inclusive and supportive campus environment for all students. It is a space where students can thrive academically and socially, contributing to their overall university experience.

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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