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25 February 2019 | Story Mamosa Makaya | Photo Charl Devenish
Principles Functions
From left: Mrs Zinette de Wet, Headmistress Eunice High School, Prof Francis Petersen, Rector and Vice-Chancellor of the UFS, and Stefan van Schalkwyk from Eunice High School.

The relationship between the University of the Free State (UFS) and high schools in Bloemfontein and the region remains vital to the successful recruitment and enrolment of high-performing students at the university. 

The office of Student Recruitment Services hosted a breakfast on 20 February 2019 to honour school principals in Bloemfontein and surrounding towns for their continued support of UFS student recruitment programmes at their schools.

Principals, headmasters, teachers and chairpersons of school governing bodies, play an important role in advising and motivating learners to apply at institutions they regard as providers of quality tertiary education, and the UFS has been chosen, time and again, as the institution of choice. 

The UFS Student Recruitment Services office engages in recruitment drives using a three-tiered recruitment model throughout the academic year in the Free State and around the country, working closely with the leadership of high schools schools.

University and schools working together

In his welcoming remarks, Rector and Vice-Chancellor, Prof Francis Petersen, said the relationship between local high schools and the university was vital in the process of developing the region. By producing high-performing students, schools and the university as partners, drive innovation, transformation and academic excellence. “In order to be innovative, we have to be forward looking, and want to work with you on that. I plan to engage with you one-on-one to strengthen our partnerships further,” Prof Petersen said.

Engaging the leaders

Each year, the university presents school principals with awards for their contribution to student recruitment and enrolment. This year, the platinum award, which is the top award for more than 50 enrolments at UFS, was presented to Brebner High School, C&N Sekondêre Meisieskool Oranje, Eunice High School, Grey College Secondary School, and Jim Fouché Hoërskool. Other award categories were; gold for 20-49 enrolments, silver for 10-19 enrolments, and diamond for one to nine enrolments, these were presented to 29 schools in Bloemfontein and Excelsior.

The Director: Student Recruitment Services, Nomonde Mbadi, said the value of the relationship with schools and principals was immeasurable, and would continue to be nurtured for years to come. The event is held annually at the UFS, and is a rich platform for renewed engagement into the future.


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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