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17 November 2022 | Story Valentino Ndaba
Dr Catherine Namakula
Dr Catherine S. Namakula, Senior Lecturer of Public Law at the UFS and Chairperson of the UN Human Rights Council's Working Group of Experts on People of African Descent.

During the 77th General Assembly of the United Nations (UN), the plight of children of African descent was a main topic of conversation. The conversation was led by Dr Catherine Namakula, Senior Lecturer of Public Law at the University of the Free State (UFS) and Chairperson of the UN Working Group of Experts on People of African Descent (WGEPAD).

On Monday 31 October 2022, in New York, she presented the group’s yearly report, titled ‘Children of African Descent’ to the third committee of the General Assembly. Dr Namakula urged the UN and other stakeholders to avoid using photos of African children and children of African descent in deplorable situations for fundraising and marketing purposes. She stated that "children of African heritage are not synonymous with poverty".

Some of the issues discussed at the meeting included conflicts of law with regard to children of African descent, their disproportionate criminalisation, the intense policing of their families and homes, the racial conditioning of their education, and the use of images of them in degrading circumstances in UN and other stakeholder messaging for marketing and fundraising.

The Working Group recommended the creation of a racial justice index to assess how well states are performing and making progress in improving the well-being of children of African heritage. South Africa was one of the nations that intervened to affirm the report. Among the countries that affirmed other related issues were Russia, Cameroon, China, and Syria.

Dr Namakula also had private meetings with the leaders of the World Council of Churches, UN Women, UNICEF, and other UN agencies to talk about human rights-based approaches to programming aimed at mainstreaming racial justice in their work.

 

African Commission on Human and People’s Rights

In addition, Dr Namakula headed the WGEPAD team to the 73rd regular meeting of the African Commission on Human and People's Rights. She made a statement at the session that brought attention to the opportunities for and necessity of African civil society participation in the work of the Working Group and the UN anti-racism machinery. She made reference to the 'Declaration on People of African Descent' being drafted, to which they may add African perspectives.

Dr Namakula also called attention to the precarious status of victims of modern forms of enslavement, torture, and exploitation in the Middle East and Gulf States, emphasising the important role of civil society in documenting and publicising the tales of vulnerable victims. She emphasised the need for work on the reparations agenda to start right now in order to document Africa's claims and create the necessary institutional and normative frameworks.

She added that efforts are under way to have the UFS Faculty of Law serve as the academic alliance's anchor for the reparations agenda in Africa.

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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