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18 February 2020 | Story Nomonde Mbadi | Photo Charl Devenish
Star of Stars Gala evening
Attending the Star of Stars gala dinner, were from the left: Mar'c Scholtz, Chairperson of the Star of Stars competition; Prof Francis Petersen, Rector and Vice-Chancellor; Kamohelo Mphuthi, Star of Stars 2019/2020 winner; MEC for Treasury in the Free State, Mrs Gadija Brown; and Nomonde Mbadi, Director: Student Recruitment Services

An evening among the stars, celebrating some of the Free State’s brightest learners. This was the backdrop for the annual University of the Free State (UFS) Star of Stars competition gala dinner held on 1 February. The event, hosted by the Department of Student Recruitment Services, recognises Grade 12 learners from quintile 1, 2 and 3 schools in the province, especially those from rural communities. 

In its fourth year of existence, the Star of Stars competition rewards learners for academic performance, leadership achievement, and community involvement. The top-ten entries are selected through an adjudication process, with the winner verified by external evaluators. 

Recognising top matriculants in the Free State 

Recognised for his achievements in the 2019 National Senior Certificate (NSC) examinations, Kamohelo Mphuthi, a former learner from Leifo-Iziko Combined School in Reitz, walked away with the Star of Stars 2019/2020 title. Kamohelo is currently enrolled at Kovsies for a BSc degree majoring in Actuarial Science. In his acceptance speech, the Karee Residence student said, “In everything that you do, strive for nothing but perfection. I hope to be a leader who is an academic, who is affable and approachable, and a leader who inspires those who came before me as well as the future winners”. 

A new category was introduced for the first time – Sparkling Personality.  The finalists chose the one star that lit the room, was friendly with everyone, with a sparkling personality.  The winner was Bianca Mafukama from Tsebo Secondary School in Phuthaditjhaba.

Nomonde Mbadi, Director: Student Recruitment Services, said entries for the 2019/2020 competition were of an exceptionally high standard. “Five learners from the top-ten group were part of the provincial top-hundred learners in the past NSC examination.”  

Improving the lives of those living in rural communities

She said the competition is a unique recruitment initiative driven by the Department of Student Recruitment Services and supported by the Centre for Teaching and Learning, Kovsie Counselling, Student Affairs, and Mr Joe Serekoane from the Faculty of the Humanities, to guide and support learners through career counselling, mentorship, and adapting to campus life. 

Addressing the audience at the gala dinner, Prof Francis Petersen, Rector and Vice-Chancellor, encouraged the top-ten finalists to pursue their dreams with a relentless courage and an aspiration to succeed. Also in attendance, was the MEC for Treasury in the Free State, Mrs Gadija Brown, who complimented the University of the Free State as a partner in improving the lives of those living in rural communities.

All the finalists received bursaries from the Kovsie Alumni Trust and the University of the Free State, as well as gifts from the Fidelity Foundation, Bloempapier, and the Bloemfontein Business Chamber. Hill Mchardy and Herbst Attorneys awarded internships to two finalists enrolled for the LLB programme. To add dazzle and sparkle, Bridal Co and Euro Suit sponsored each finalist with formal attire. 

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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