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#YouthMonth: Celebrating youth empowerment (Refiloe Shedile)

29 June 2023 | Story Refiloe Shedile | Photo Supplied

The University of the Free State (UFS) is celebrating Youth Month by showcasing the positive influence of the institution on career development. As part of this initiative, we are sharing the stories of UFS alumni who are now working at the university.

Refiloe Shedile, Online Assessment Coordinator in the Centre for Teaching and Learning (CTL), shares her UFS journey:

Q: Year of graduation from the UFS:

A: I completed my undergraduate degree in 2015, followed by my honours degree in 2016.

Q: Qualification obtained from the UFS:

A: My first qualification was a Bachelor of Arts (BA) degree. After that, I pursued a Bachelor of Commerce Honours qualification with specialisation in Industrial Psychology.

Q: Date of joining the UFS as a staff member:

A: I started my journey as a staff member at the UFS through an internship programme in the Centre for Teaching and Learning (CTL) on 1 June 2017.

Q: Initial job title and current job title:

A: My internship focused on technology in teaching and learning, specifically working with assessments on the Questionmark platform. After the internship, I was appointed as an assistant officer in CTL’s Writing Centre (Unit for Language Development); however, I only held this position for four months before there was an opportunity to move back to the division in which I completed my internship. In October 2018, I rejoined the online assessment team as the Questionmark Coordinator and have been working in this role ever since.

Q: How did the UFS prepare you for the professional world?

A: There are numerous initiatives offered by the university that prepared me for the world of work, i.e. the onboarding and new staff orientation sessions conducted by HR; my department also gave me a clear understanding of my individual and team responsibilities, the divisional procedures and culture, and how our work contributed to the larger institutional mission and vision. I was well supported in the team and provided with the necessary resources to excel in my role. Moreover, CTL’s environment enabled me to build strong social connections that continue to be invaluable.

Q: What are your thoughts on transitioning from a UFS alumnus to a staff member?

A: Transitioning from being a UFS alumnus to a staff member was an exciting experience. There was an initial adjustment period to adapt to a nine to five routine; however, I was fortunate enough to join an amazing team led by an inspiring mentor/ line manager. As a Kovsie, you get to develop valuable skills such as optimism, hard work, and resilience; these skills were essential to thrive within the university’s fast-paced environment. Additionally, I believe that being familiar with the UFS environment and culture made it easy for me to better understand and cater for the needs of the students, drawing on my own experiences as a former student. This enabled me to perform my job diligently and effectively.

Q: Any additional comments about your experience?

A: One of my favourite moments about becoming a UFS staff member was the opportunity to work with some of my former lecturers. It was an intriguing experience, being on the other side now, shifting my perspective and seeing them as colleagues rather than just lecturers. This shift in dynamics added a special aspect to my overall experience at the university.

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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