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26 May 2020 | Story Marcus Maphile | Photo Supplied
Marcus Maphile

The African continent is known for endless wars, extreme poverty, under-development, and highly contested borders left by the legacy of colonialism. Low levels of literacy among young people and adults remain a concern in many African states. African universities are slowly beginning to play a significant role in contributing to national innovation systems that seek to change the socio-economic and other fortunes of many poor and marginalised Africans. 

The African continent celebrates the 57th anniversary of the founding of the Organisation of African Unity (OAU), and the relevance of the current African Union (AU) in the fight against socio-economic challenges caused by COVID-19 on the continent. The fear faced by most African countries emanates from inadequate healthcare systems and facilities. The debate on the opening of schools and institutions of higher learning is passed around like a soccer ball, as countries are aware that they lack the capacity to accommodate a surge of COVID-19 infections.

The African higher education and research sector is struggling to adapt. Will they be able to play a significant role towards finding a vaccine, producing new knowledge or research from African indigenous plants?  To be factual, in many ways this is not likely to happen, as most of the higher education institutions struggle with internet connectivity and high data costs. Many books and journals in libraries remain inaccessible, and most will only later record how developed countries moved to online teaching and learning with great success or failure.   All this will happen under the noses of illiterate Africans who rightly expect their higher education and research institutions to contribute towards finding immediate responses to the COVID-19 pandemic threat.

Most public and academic libraries remain closed and there is no word and contribution from highly decorated professionals towards sustaining reading habits and availing relevant materials for research towards finding a vaccine. There is no co-ordinated plan from library ministries and or library lobby groups. This is the context in which Africa Month 2020 is celebrated. It will be remembered as the year in which the promotion of reading and the opening of schools took a beating.

Marcus Maphile is Assistant Director: Library Marketing at the University of the Free State and he writes in his personal capacity.

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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