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10 September 2020 | Story Eugene Seegers | Photo Sonia du Toit (Kaleidoscope Studio)
Dr Marinkie Madiope in official UFS gown
Dr Maria Madiope

Everywhere you look, our colleagues at the UFS are stepping up and stepping into the new digital space. With the move to virtual events, staff members at the university are able to participate in discussions and webinars across the continent at various other institutions of higher learning. 

One such virtual event recently took place for Women’s Month. The Tshwane University of Technology hosted the Annual Adelaide Tambo Memorial Lecture on 27 August. The theme was Is the face of the boardroom in global organisations changing women representation in influential positions?

Dr Phumzile Mlambo-Ngcuka, United Nations Under-Secretary General and Executive Director of UN Women, focused in her presentation on themes regarding girls’ education and women’s health, both of which have been threatened by the COVID-19 pandemic.

As the respondent, Dr Maria Madiope, Principal of the UFS South Campus, dealt with the patriarchal domination and violence that modern women and girls endure, as well as the way “their sexuality and aptitude is disrespected and how they are subjugated and side-lined in the political, corporate, social, and cultural arena.” She said that it is incumbent on the modern generation of women to reignite the flame that fuelled the struggle for feminine recognition and equality. “We are beholden not only to the legacy of those that came before us, but also to the eager eyes that look up to us,” she concluded. 

Dr Madiope also announced her support for Dr Mlambo-Ngcuka’s Generation Equality campaign against gender-based violence, and she echoed the sentiments of the rallying hashtag #JustChair, which breaks down discrimination based on the use of gendered terms such as ‘chairman’ for the leader of a meeting or corporation.

Dr Adelaide Tambo’s life was characterised by a love of knowledge, as she believed that people need as much power to be able to handle challenges facing the country, the continent, and the planet. She strove for the emancipation of women in general, focusing on the importance of education and how it can improve a woman’s life, and encouraged a strong culture of learning.

The event was livestreamed on Facebook and Zoom; go to https://www.facebook.com/805899996152814/videos/1036964343420927 to watch the full presentation.

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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