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27 August 2018 Photo Sonia Small
Prof Thuli Madonsela persuades women to pursue their purpose
Discovering that she was “pretty” for her purpose gave Prof-Adv Thuli Madonsela’s life direction.

What does embracing womanhood mean? For Prof Thuli Madonsela it is about loving yourself and whatever you believe is your purpose in life. 

“All of us are designed for our purpose and are fit for our purpose, you should embrace that and make the best of it,” said South Africa’s former Public Protector in her keynote address to the Women’s Breakfast. In commemoration of Women’s Month, the University of the Free State (UFS)’s Employee Wellness Division hosted the annual event on 21 August 2018 where 900 women gathered under the theme: ‘Embrace your womanhood.’ 

Being a woman today


Law Professor and Law Trust Chair in Social Justice at Stellenbosch University, Prof Madonsela, urged the audience to look beyond the exterior and recognise “that we as individuals have a lot in common”. Speaking of unity in diversity, she praised some of the giants on whose shoulders modern women stand, such as Charlotte Maxeke, Olive Schreiner, Una Wookey, Albertina Sisulu, Winnie Madikizela-Mandela, Helen Joseph, Pam Golding, Bessie Head, and Ellen Khuzwayo.

These leaders are the epitome of following the purpose of “embracing everyone’s humanity and challenging things that diminish the humanity of others”, according to Prof Madonsela.

Remaining resilient and resolute 

Despite having to contend with a patriarchal system and face challenges such as gender-based violence, femicide, poverty, inequity, media stereotypes, as well as poverty, women continue to rise. Prof Madonsela called for women to capitalise on positives such as freedom and possessing a certain degree of power, legal equality, playing a role in political spaces, economic progress, and owning a public voice.

Drawing inspiration from her humble beginnings and the lessons learnt in leadership, Prof Madonsela conveyed a simple message to all women: “You are exactly as you should be. You are a perfect expression of your creator’s magnificence. You were created for a purpose and whatever you do, just step up and pursue your purpose.”

A word from an inspired woman

It was a memorable event for Burneline Kaars, Head of Employee Wellness. “This year it was an honour to host Prof Madonsela who could share both her academic background and professional experience. She accomplished this by skilfully incorporating lessons from our country’s history and her passion for justice,” she 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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