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01 March 2019 | Story Valentino Ndaba
Student from the Umoja Buddy programme
Students from all corners of the globe forge lasting bonds through the Umoja Buddy Programme.

Let’s say you find yourself attending a university in a different country where you need to adjust to a new language, culture, environment, friends, lecturers, curriculum, and lifestyle. Sounds like a challenging leap of faith, right? However, the Umoja Buddy Programme (UBP) makes this transition a whole lot easier for international students.

If you were an international student at the University of the Free State’s (UFS) Bloemfontein Campus, you would be assigned a buddy who is familiar with student life and community. The Office for International Affairs in collaboration with Student Affairs designed this programme for all incoming exchange students to feel welcome and at home.

The UBP is part of the university’s endeavours to advance internationalisation at home, which was entrenched in the 2018-2022 UFS Internationalisation Strategy. Underlying is the idea to provide UFS students with international experiences on their home campus.

Integration at the heart of internationalisation


At the Bloemfontein Campus launch of the UBP on 14 February 2019, UFS Rector and Vice-Chancellor, Prof Francis Petersen, welcomed this year’s cohort of first-time international students and highlighted the importance of the UBP. “In essence, it aims to connect international and local students through meaningful lifelong friendships and to foster their academic, social and cultural integration at the UFS,” he said.

Prof Petersen strongly believes in the programme’s ability to facilitate “cross-fertilisation of ideas and intercultural exposure and learning”, which further enhances the quality of graduates produced by the institution.

A student is a student through other students


Lesotho-born Precious Lesupi volunteered as one of the 48 ambassadors to prevent others from experiencing the difficulties she did when she arrived at UFS. “I have been in a situation where you get to a place and you know nothing about the people there, especially the culture, and the way everything is done because you come from a totally different place, so it’s really hard to adjust.”

Lebohang Lesenyeho, who hails from Botshabelo in the Free State, expressed similar sentiments with fellow ambassador,Kweku Gavor. He said he “looks forward to “building a meaningful relationship.” Kweku who has Ghanaian origins believes that, “you cannot put a price on learning about another person and ways you react to certain situations.”


Umoja is a verb


True to the word umoja, which means “unity and the spirit of togetherness”, the programme has proved to bring together students from diverse backgrounds in the pursuit of academic excellence. The goal can be best achieved when complemented by a holistic social and cultural 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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