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07 July 2023 | Story Kekeletso Takang
UFS Industry VisitsUFS Industry Visits - promoting student development
Students from the University of the Free State (UFS) recently had the opportunity to visit four Bloemfontein companies as part of their learning experience in the School of Accountancy.

The University of the Free State (UFS) is committed to producing employable graduates. Being student-centred, the UFS is continuously seeking opportunities to promote the learning experience by taking a holistic approach where teaching and learning extend beyond the four walls of a lecture hall. It is to this end that the UFS School of Accountancy recently took hands with local businesses to expose students to the real world of work through industry visits.

Aimed at providing students with insights into the real world, the industry visits are the initial point of contact between students and the working industry. The approximately 280 students in the Bachelor of Accounting (final-years), Bachelor of Commerce Honours in Accounting, and Postgraduate Diploma in General Accountancy were exposed to the real world so they could see first-hand what professional accountants do, how the business world works, and how their different modules integrate.

Four of Bloemfontein’s largest companies agreed to host a group of 70 students each. Students were given the opportunity to sign up for the company they found most interesting. The companies – Raubex Infra, SA Truck Bodies, Interstate Bus Lines, which sponsored transport to and from all the companies, and Sun Windmill Casino – function in the construction, manufacturing, transportation, and entertainment sectors, respectively. Students were not only treated to talks by the directors and senior staff of all the companies who took time to address them and share insightful information about their operations, but also to tours and treats.

“The updated SAICA competency framework, which guides most of our teaching at the School of Accountancy, requires us to enhance our focus on professional values, attitudes, and acumens (PVAAs). The industrial visits specifically address business acumen, but the added benefit is that it inspires and excites students, as it exposes them to where they may be in future," says Ané Church, Lecturer in the School of Accountancy.

The industry visits were not only fun and tours, but students were also tasked with writing a reflective essay after the visit, setting out what they learnt, found interesting, and would recommend to the respective companies. This, in turn, addressed students’ writing skills and uses reflection as a means of learning.

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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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