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03 September 2021 | Story Dr Nitha Ramnath
Prof Bonang Mohale.


The executive management of the University of the Free State (UFS) and the university community extend heartfelt congratulations to Prof Bonang Mohale on his appointment as President of Business Unity South Africa (BUSA). 

“Prof Mohale’s extensive expertise and experience in leadership roles, contributions to the growth of many multinational companies, and involvement in education and the business sector, will undoubtedly strengthen the ties between various sectors and civil society, and further contribute to the stabilisation and growth of South Africa,” said Prof Francis Petersen, UFS Rector and Vice-Chancellor, in his congratulatory letter to Prof Mohale. 

BUSA’s role in influencing policy and legislative development for inclusive growth and employment, and in building an enabling environment for the creation of a vibrant, diverse, and globally competitive economy that harnesses the economic and human potential in South Africa, is well documented. This potential resides in our higher education institutions in the form of our students, future graduates, and graduates who are the building blocks for the development of South Africa. 

At a time when our country is facing a social and economic crisis, we are confident that BUSA will consider the perspectives across sectors with a view to creating partnerships, collaboration, and co-creation and further play an integral role in our higher education institutions for the benefit of our students. 

“Prof Mohale’s support to the UFS is appreciated, especially his role as Chancellor and his contribution towards our Thought-Leader and Global Citizen programmes, through which important national and global issues are addressed.
 
We wish Prof Mohale every success in his endeavours, particularly as President of BUSA,” said Prof Petersen.

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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