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15 July 2019 | Story Eugene Seegers | Photo Eugene Seegers
Chris Grobler, Eunice Qwelane, Bob Tladi, and Elmien Retief on the UFS South Campus during the Monyetla Bursary Project’s Winter School.
Chris Grobler, Eunice Qwelane, Bob Tladi, and Elmien Retief on the UFS South Campus during the Monyetla Bursary Project’s Winter School.

Three members of the Free State Department of Education (FSDoE) recently visited the UFS South Campus to see an example of inclusive education at work: The Monyetla Bursary Project’s sixth Winter School. Monyetla means ‘opportunity’ in Sesotho. We spoke to Bob Tladi (Chief Director: Education Development and Support, FSDoE), Eunice Qwelane (Director: Inclusive and Special-Needs Education, FSDoE), Elmien Retief (Acting CES, Inclusive and Special-Needs Education, FSDoE), and Chris Grobler (Director: Monyetla Bursary Project) to find out why this year’s programme was of special interest to the province’s Department of Education.

According to Eunice Qwelane, the special area of interest for her department was the hard-of-hearing and deaf Grade 12 learners from Bartimea School in Thaba Nchu. She says the Winter School is “an opportunity for these disabled learners to be integrated into the broader school community. For them, it is also a step of progressive development towards their future, as well as preparation for tertiary education.” She adds that it is also an opportunity for them to receive excellent tuition. “Monyetla’s Winter School at the UFS South Campus ensures that subjects are taught by the best possible educators.”

Chris Grobler mentions that additional opportunities were created for these learners to interact with hearing learners. During their time off at the cafeteria or during breaks, they can play games and get to know one another. Hearing learners were also taught basic greetings in South African Sign Language (SASL) and were encouraged to interact with deaf students as much as possible.

He adds: “There is a need for administrators to develop and widen their thinking. Schools that attend the Winter School are from all over the province, not only Motheo District in the Free State. Even more than that, learners visit from all over the country — from the North-West, KwaZulu-Natal, Eastern, Western and Northern Cape — because we have built a reputation here. As the University of the Free State, we are doing good towards ALL. It is a compliment for the Free State Department of Education and the university.”

Eunice Qwelane concludes: “We really appreciate what the UFS is doing, because within the department we do not have winter camps that cater for visually or hearing-impaired learners. The university, in collaboration with the Monyetla Bursary Project, is solving an existing problem and bridging a gap in the system. It is an inspiration for these learners, because they can move away from isolation. This is inclusivity at its best and inclusivity in action that the UFS is bringing to us as a department, and we really appreciate that.”

Other services rendered at Winter School 

1) Help learners apply to UFS (feeder programme of matrics for UFS in collaboration with Schools Partnership Project at South Campus)
2) NBT application assistance
3) Funding opportunities, application assistance
4) Job shadowing / internships, partnerships with companies and sponsors
5) South African Sign Language (SASL) interpreting at Computer Lab
6) Simoné Hendricks: SASL Specialist interprets SASL in Maths and Accounting
7) D6 School Communicator — download teaching resources used during Winter School

Winter and Saturday Schools: Facts

  • 2007: Saturday School started with 300 learners and five subjects
  • 2019: This has grown to 1 500 learners and 15 subjects in 2019
  • 2008-2011: Gr 12 learners express a need for further opportunities to improve their skills in key subjects such as Maths, English, Science, and Computer Literacy
  • 2012: Winter School is started by Monyetla Bursary Project, with the aim of linking corporate sponsors with deserving underprivileged learners
  • 2019: Winter School has now grown to be a multi-province drawcard to the UFS South Campus


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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