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To The River and beyond

19 December 2022 | Story Gerda-Marié van Rooyen | Photo Supplied

Olebogeng TIhong loves stages and cameras. She is currently studying law.

An ex-CyberSta presenter has recently made her soap debut in The River.

Olebogeng Tlhong, a fourth-year LLB student at the UFS, recently portrayed the part of a celebrity, something she says works perfectly with her personality. However, acting is only one of her many gifts and interests.

She also owns an enterprise. “I established my online store in 2020 during the COVID-19 pandemic and registered my company in October 2021.” This company, a segment of Greys World, consists of an events company, bikini line, cosmetics and accessory stores and a clothing aspect.

Passionate about the entertainment space

This born Johannesburger describes herself as a “vibrant, hard-working, resilient and multifaceted woman who loves life and all that it has to offer”. Confidence is something she has in ample supply. “I have always been a confident individual. I have participated in public-speaking competitions from a young age. I am passionate about the entertainment space.” She loves people too. "I draw inspiration from different people for different reasons and aspects of my life. This includes from the women in my family to service workers’ stories, celebrity figures and the teachings of Christ.” 

Visualisation is something this entertainer strongly believes in. “The kind of life that I envision for myself, inspires me. I want to own my time and live on my terms. Having a vision board and holding myself accountable has played a large role in ensuring that I execute everything that I said I would. I believe in being proactive and solution based.”

Crossing boundaries and achieving dreams

Olebogeng dreams of leaving a legacy echoing her courage to cross boundaries and achieve her dreams. “I want people to draw inspiration from me and know that they can achieve anything – regardless of obstacles or one’s past. One can build an empire from nothing,” says this wanna-be world traveller.

While it is uncertain where Olebogeng’s river will take her, one thing is certain, she’ll always seize the day. “I want to remain teachable to grow. The aim is to never get comfortable and to keep striving for more.”

Olebogeng appeared on The River, episode 240, that aired beginning/mid-October.

This guest appearing actress has always been confident. “I used to participate in public speaking competitions from a young age and I love the entertainment space.”

“Enjoy university, meet new people and grab every opportunity that aligns with your purpose, have fun and most importantly, ensure that your academics are always in order,” Olebogeng advises the first-year students of 2023.

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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