Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
02 September 2019 | Story Thabo Kessah | Photo Thabo Kessah
Eunice Lebona
Eunice Lebona sees herself as a ‘perfectionist procrastinator.’

She is literally the beginning and the end of students’ academic careers on the Qwaqwa Campus, as she welcomes each one of them with an application form when they arrive and ensures that they enjoy their moment in the Rolihlahla Mandela Hall when they graduate. She says she derives all the pleasure and creativity from ‘last-minute crunch’. For those who have interacted with her, she epitomises excellence in the execution of her duties, but many would not know that she is a procrastinator. 

She is Eunice Lebona, Assistant Director: Student Academic Services.

Childhood lesson

‘Ausi Eunice’, as she is affectionately known, credits her grandmother for valuing accountability, her most prized childhood lesson.

“My grandmother raised me and as the oldest grandchild, I learnt the value of accountability at an early age; this has been the cornerstone of my life and career.  Although it is valuable to have support around you, standing on your own two feet is critical, because you will not know when that support might not be available,” she said. 

Working with students comes naturally to her, as she is inspired by progression and achievement.

Personal inspiration

“Getting to higher echelons than previous accomplishments, is my inspiration.  My successes are energisers to achieve the next steps on unique and distinctly different notes than the previous ones. It is this same notion that builds my view, that – as the University of the Free State – we need to see women representation in leadership on a greater scale, as well as respect for their spaces of delivery.”

When asked about the one thing that very few people knew about her, she said: 
“I am a procrastinator. In fact, I am a perfectionist procrastinator. Although procrastination is not good, the last-minute crunch is stimuli to ideas that I would normally not dream of in my comfort mode,” Lebona insists.

What is success?

She defines success as “inner gratification which is the result of the outcomes I had to deliver on”.  She adds: “Witnessing the success and motivation of others from the small contributions I have made in their lives, is all the success that resonates with me. Respect and humility go a long way in attaining success. As indicated earlier, my grandmother played a crucial role in my upbringing and instilled in me the philosophy entrenched in Luke 6:31 that says: ‘Do unto others as you would have them do unto you.’ That has been my motto since her passing away”.

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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept