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17 February 2022 | Story NONSINDISO QWABE | Photo Thabiso Mdakana
Qwaqwa Campus vaccination drive
Andile Tshabalala and Theodore Hlalele, CSRC Qwaqwa Campus.

As the University of the Free State is encouraging staff and students to be vaccinated in order for all of us to return to campus life as we know it, the Qwaqwa Campus held its first in-person vaccination activation drive for its first and returning students. The drive was to further encourage students to vaccinate, and to keep themselves and others safe by educating themselves.

The cheerful and excited crowd of more than 100 students were gathered at the Amphitheatre on campus, where they got to know more about the COVID-19 Regulations and Required Vaccination Policy and interacted with Department of Health officials to understand more about the jabs and booster shots.

No one is forced, but everyone is encouraged

The university’s approved policy came into effect on 14 February, requiring staff and students to be vaccinated as a measure towards ensuring everyone’s smooth return to its three campuses. However, as Qwaqwa Campus Principal Dr Martin Mandew highlighted, “no one is being forced to vaccinate, but we are all strongly encouraged to do so”.

Dr Mandew said the student experience is too rich and vibrant to be confined to virtual learning. He showed students his own vaccination certificate, quoting a Zulu proverb, ‘indlela ibuzwa kwabaphambili’, which loosely translated means ‘those who have gone before you can show the way’.

“If you are not vaccinated, it will be impossible for us to enjoy face-to-face interaction again. Ask yourself: ‘If the principal is vaccinated, who am I not to be?” he said.

The lively drive also kept students entertained through live performances by local artists. 

Students could also raise pressing issues and questions with Department of Health officials – including common side effects, apathy against vaccination due to religious beliefs, the efficacy of the vaccine to protect against COVID-19, and the implementation of the UFS Vaccination Policy. 

The programme line-up also included messages of support from the Director: Student Affairs, Zoleka Dotwana, the Deputy Director of Housing and Residences, Zakhele Mdluli, and UVPERSU Vice-Chairperson, Dr Grey Magaiza.

The operating days of the on-campus vaccination site have been extended to accommodate streams of incoming students who still want to be vaccinated. 

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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