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17 September 2021 | Story Nitha Ramnath

Prof Francis Petersen, Rector and Vice-Chancellor of the University of Free State, South Africa, invites us to rethink our relationship with the world in a series of ‘Courageous Conversations’ on the theme of ‘The Global Citizen’. Prof Petersen argues that COVID-19 has been a powerful ‘disruptor’ – it was a stark reminder of the need to rethink our identity, of where we belong, our ‘normative’ view of citizenship – if we want to secure long-term survival of our civilisation and the environments that support it.

Global Citizen and the role of Digital Futures – Monday, 27 September - 13:30 SAST / 12:30 BST 

How we turn information into intelligence is the subject of SACC’s next ‘Courageous Conversation’ with University of the Free State Vice-Chancellor, Prof Francis Petersen, in his series debating ‘The Global Citizen’.  “I believe the world needs multi-disciplinary solutions to its global problems.  For this reason, I established the Interdisciplinary Centre for Digital Futures at the University of the Free State as part of my vision to infuse the natural and social sciences and the humanities with everything that digital brings to a multi-disciplinary approach in order to solve real-world problems through the power of big-data analysis,” says Prof Petersen.

Prof Philippe Burger, the UFS Pro-Vice-Chancellor for Poverty, Inequality, and Economic Development, together with Prof Katinka de Wet and Herkulaas Combrink, the interim co-directors of the Interdisciplinary Centre for Digital Futures, will join Prof Petersen to discuss the value that such an approach can bring to finding solutions to real-world problems. They will also share information on some of the exciting projects of international relevance that they are working on. Agriculture and food security, medicine, and attitudes to issues such as, for example, vaccination, education, governance, and ethics are key foci of the centre.

Join us to find out how big-data analysis and a multi-disciplinary approach can transform understanding and deliver solutions to some of the challenges we face as citizens of the world.  

To RSVP click here 


The Global Citizen Courageous Conversations series

In partnership with the South African Chamber of Commerce based in the United Kingdom, the Global Citizen Courageous Conversations series that was launched on 26 May 2021, brings together powerful voices from public life, intellectuals, public interest and business leaders, academics, naturalists, religious leaders, astrophysicists, economists, ecologists, and others.

If you missed our previous Global Citizen Courageous Conversations, you can watch the replay on YouTube, or visit the South African Chamber of Commerce website for the recordings. 


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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