Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
25 May 2020 | Story Prof Danie Brand | Photo iStock

We are indeed privileged to have this paper from Prof Toyin Falola to include in our celebrations of Africa Day. Toyin Falola is a world-renowned African. A scholar of African history and African studies, he holds the Jacob and Frances Sanger Mossiker Chair in the Humanities at the University of Texas, Austin. He has published, as author or editor, more than 100 scholarly books on topics ranging from diaspora, migration, empire and globalization to intellectual history, international relations, religion and culture. He has been awarded seven honorary doctorates and has received, among many other awards, the Distinguished Africanist Award from the African Studies Association, the Ibadan Foundation Award for Professional Excellence in Scholarship and the Cheikh Anta Diop Award for Excellence in African Studies. He served as Vice President of UNESCO’s International Scientific Committee, Slave Route Project from 2011 – 2015 and currently is a member of the Carnegie African Diaspora Fellows Programme and the International Committee of the Thabo Mbeki African Leadership Institute at UNISA.

In this wide-ranging paper, originally presented as keynote address at the Visions of African Unity (1930s – 2018) conference at the University of the Free State, Prof Falola begins with a tour of the intellectual history of ideas of African Continentalism (Pan-Africanism / African Unity), from Henry Sylvester Williams, through WEB du Bois, Marcus Garvey, George Padmore and Julius Nyerere, to Kwame Nkrumah. He then describes the current institutional landscape of African unity and present-day intellectual versions of African Continentalism. Asking, and answering the question ‘Why must Africa unite?’, he then proceeds, on the basis of a consideration of more contemporary intellectual versions of African continentalism such as Black Consciousness, Black Nationalism, Afropolitanism, and now Afrofuturism (which he depicts as ‘ideological dispensations of true African cultural recovery and re-orientation’), to propose a disaggregated approach to contemporary African unity that is not fixated on global-Northern models. This means that unity should (re)start small, working territorially from regional units toward a continental unit, on the one hand; and on the other, seeking unity and cooperation around discrete substantive themes, from the more obvious and traditional, such as economic policy, global politics and a reformed unified political and military system, to the less, such as common educational policy, synergizing science and technology with African culture(s) and language, culture and literary exchange.

We thank him for the gift.

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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept