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03 March 2020

The Office for International Affairs (OIA) at the University of the Free State (UFS) implemented the second iteration of its Umoja Buddy Programme (UBP) in 2020. The UBP is a flagship internationalisation-at-home programme aimed at the smooth academic, social, and cultural integration of first-entering international students at the UFS by pairing them with senior UFS students. It offers local students an international experience on the home campus and develops their international and intercultural competence through direct interaction with international students. The UBP contributes to the achievement of the UFS vision, whereby every student will in future have an international experience during their studies at the UFS.


Internationalisation at home

On 13 February 2020, a welcome function themed Echoes of Sophiatown set the tone for this year’s edition. Chevon Slambee, Chief Officer in the OIA and UFS master’s student, welcomed the students and explained the theme of the day. She said that, “as students, we have a responsibility to be active citizens and contribute to change and social transformation”. Programme coordinator Bulelwa Moikwatlhai introduced the function and framework of the programme and highlighted the importance of internationalisation at home. Also in attendance was the Dean of Students, Pura Mgolombane, who encouraged students in his address to honour their heritage, “so that together, we can be able to appreciate one another”. He emphasised the importance of social justice for academic success. The SRC member for the International Student Council, Simba Matheba, expressed his support for the UBP. The UFS Arts, Culture, and Dialogue office provided entertainment at the event.

Umoja Buddy

International and local students mingling at the 2020 Umoja Buddy Programme Welcome Function.

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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