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25 April 2024 | Story ANTHONY MTHEMBU | Photo Stephen Collet
His Excellency Dr Reuben E Brigety II
His Excellency Dr Reuben E Brigety II presenting his guest lecture at the Centenary Complex.

The University of the Free State (UFS) recently had the honour of hosting a thought-provoking guest lecture delivered by His Excellency Dr Reuben E Brigety II, the United States Ambassador to South Africa. Held on 23 April 2024 at the Centenary Complex, on the UFS Bloemfontein campus, the lecture delved into the vital role of higher education in fostering and safeguarding democracies.

Describing the occasion as a pivotal moment for the institution, Prof Francis Petersen, Vice-Chancellor and Principal of the UFS, articulated, "Having the United States Ambassador to South Africa visit our institution and deliver this guest lecture presents an invaluable opportunity. It allows us to gain unique insights into the parallel dynamics and challenges facing our sister democracies, particularly as both our countries approach significant electoral periods.”

Dr Brigety, in his address, underscored the significance of higher education in the context of Freedom Day, celebrated in South Africa on 27 April 2024. He emphasised the role universities play in advancing democratic values, drawing upon the UFS motto, “In truth is the light of wisdom” to elucidate this connection. Highlighting the inspirational figure of the late Charlotte Maxeke, a prominent social and political activist, Dr Brigety noted her pivotal role in both South African and American contexts.

Maxeke, a graduate of Wilberforce University, and her husband Marshall Maxeke, founded the Wilberforce Community College upon returning to South Africa. Dr Brigety underscored the significance of Maxeke’s commitment to civil liberties and education, along with her enduring ties to the Wilberforce University network, in shaping subsequent generations of activists and leaders.

Moreover, Dr Brigety stressed the importance of collaborative efforts between South African and American universities amidst today’s complex global challenges. He advocated for initiatives such as collaborative research projects, joint academic programmes, and student exchanges, citing their role not only in knowledge creation but also in fostering mutual understanding and strengthening bilateral relations.

In concluding his address, Dr Brigety urged the audience to emulate the examples set by individuals like Charlotte Maxeke and Prof Jonathan Jansen, the former Rector and Vice-Chancellor of UFS. He encouraged them to champion the cultivation of the next generation of leaders, thinkers, and change-makers. 

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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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