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25 February 2020 | Story Valentino Ndaba
Charné Ferreira
Kovsies is proud of Charné Ferreira one of just 12 candidates to be placed on the Honours Roll of the South African Institute of Chartered Accountants.

The South African Institute of Chartered Accountants (SAICA) recently announced the candidates who wrote and successfully met the requirements of the Assessment of Professional Competence (APC) examination. One of 2 024 names released was that of Charné Ferreira, a University of the Free State (UFS) alumna.

Ferreira was among 3 560 candidates who attempted the APC in November 2019. This gruelling part of her journey to becoming a Chartered Accountant (CA) was a culmination of many years of intensive education and training.

Now a Senior Associate at PricewaterhouseCoopers, Ferreira reflects on how her career started with the decision to take Accounting as a subject in high school. In her second- and third-year as a Kovsie student, Ferreira challenged herself to become a tutor. This gave her the opportunity to secure a position as an Academic Trainee at the UFS School of Accountancy.

Recognising outstanding performance
Not only did Ferreira pass the most demanding Chartered Accounting test in South Africa, but she excelled and earned a place on the institute’s prestigious APC Honours Roll. SAICA honours only 12 exceptional candidates for their aptitude and skill. 

Excellence to match market demands
According to Freeman Nomvalo, CEO of SAICA: “In many ways this is the toughest exam because it requires aspirant Chartered Accountants (CASA) to apply their technical academic knowledge from multiple disciplines to a single but complex real-life business case study. To pass, candidates must demonstrate high levels of the skills employers have told us they want in the next generation of CAs (SA).

“Succeeding at this final test of professional competence requires advanced levels of critical thinking, the ability to work with technology, and the capacity to assimilate new information under pressure over a five-day period which culminates in an eight-hour assessment. It’s gruelling but it’s exactly the kind of challenge successful candidates will soon face as qualified CAs (SA),” added Nomvalo.

A word to the wise
Looking back at the building blocks that led her to this point, Ferreira shared invaluable advice for future candidates. “Ask for help, speak up if you do not know, speak up if you are drowning in stress. Your career is not a sprint, it is okay if you fail, as long as you get up again and the most important thing is, make time to rest, do not be so hard on yourself,” she said.

In congratulating Ferreira and the other UFS alumni who passed the 2019 Assessment of Professional Competence, Prof Frans Prinsloo, Director: School of Accountancy, also paid tribute to the excellent work of the UFS academics in the School who play a vital role in developing the knowledge, skills and values of the next generation of accounting professionals. “These results attest to the quality of the Chartered Accountancy education offered by the UFS,” he said.

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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