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22 May 2020
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Story Nitha Ramnath
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A Virtual celebration of Africa Month
On 25 May 2020, Africa will celebrate the 57th anniversary of the founding of the Organisation of African Unity. A central tenet of the organisation, which was the predecessor of the African Union, is African solidarity. Member states undertook to coordinate and intensify their cooperation and efforts to achieve a better life for the people of Africa. The University of the Free State (UFS) has a long tradition of commemorating Africa Day and the ideas underpinning it. Every year, diverse events aimed at advancing African unity and solidarity take place during Africa Month – traditionally, the highlight is the Africa Day Memorial Lecture hosted by the University's Centre for Gender and Africa Studies.
This year, celebrating African unity through significant events involving the physical presence of a large number of people, will likely be impossible. COVID-19 is ravaging the world and Africa may become one of the world regions worst affected by the consequences of the virus. Social distancing may be difficult to achieve in a continent with densely populated urban centres that often feature large informal settlements. Besides, the economies of African nations are not as robust as those of other world regions. The challenge that Africa is facing, appears to be one that can only be mastered by its people acting in solidarity and unity. The continent has already developed an Africa Joint Continental Strategy for COVID-19 Outbreak to combat the virus, and an Africa Taskforce for Coronavirus has been established. The ideas of African togetherness and the underpinning philosophy of Ubuntu may be critical for strengthening African solidarity at a time when it may be more relevant than ever.
The commemoration of Africa Day takes a different theme each year. This year, the UFS 2020 Africa Month celebrations will take a virtual format, with the theme of ‘Africa together forever’ underpinned by the COVID-19 global pandemic. The theme is particularly significant considering the context of the African continent; and only through the demonstration of solidarity and unity can Africa overcome the challenges of the global pandemic.
The University will host a variety of cultural and intellectual contributions on the dedicated UFS virtual Africa Month website. On Africa Day (25 May 2020), a virtual Africa Day function, which will be posted on the website, will conclude the Africa Month commemorations.
The diverse contributions to the 2020 virtual Africa Month activities will highlight the University’s commitment towards creating a diverse, challenging intellectual environment. The UFS strives as a research-led university, to provide an environment in which new ideas are incubated and debated; contributing towards its transformation process and African unity.
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
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.