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28 May 2024 | Story Anthony Mthembu | Photo Jon Vincent
Ibali
Educators, academics, and policymakers in attendance at the Ibali Education Stakeholders Forum.

The Centre for Development Support (CDS) at the University of the Free State (UFS), in collaboration with Ibali, hosted the Ibali Education Stakeholders Forum on 10 May 2024 at the Centenary Complex on the UFS Bloemfontein Campus. 

According to Prof Faith Mkwananzi, Associate Professor at the CDS, the event, an initiative of the Ibali Project, aimed to ‘’inform and disseminate project findings to individuals with an interest in educational exclusion and inclusion. It also served as a forum for stakeholders to share insights on the matter. “ The forum was well attended by educators, school leaders, academics, and policymakers from the Free State. Additionally, the event saw representation from Ibali, including Dr Alison Buckler, Deputy Director of the Centre for the Study of Global Development (CSGD) at The Open University.

A platform for engagement

Discussions at the forum focused on creating inclusive learning environments for learners and students within the province and beyond. Stakeholders had the opportunity to discuss the challenges they face in fostering inclusive learning spaces through panel discussions and presentations. ’’The involvement of stakeholders and presentation of diverse perspectives contributed to a robust engagement, indicating that individuals and organisations are motivated to support an inclusive and sustainable education system at every level in South Africa,’’ said Prof Mkwananzi.

The Ibali initiative

Dr Buckler explained that Ibali is a network of researchers, practitioners, and educators interested in how storytelling can support different understandings around complex issues in education and development. One of Ibali’s projects, funded by the United Kingdom Arts and Humanities Research Council (AHRC), explores what inclusion and exclusion look like within education in countries like Nigeria, South Africa, and the United Kingdom.

Insights from the engagement

Dr Buckler highlighted several insights from the forum. She noted that inclusive practice can manifest in various ways. ‘’People talked about mixing groups of students in lectures, creating a supportive community for their deaf sibling, mainstream schools inviting children from ‘special schools’ for play sessions, and so on,’’ she said. Moreover, she emphasised that a key takeaway is that “underpinning hugely diverse examples of inclusive practice are a fairly small number of key principles around empathy, communication, ubuntu, and seeing someone as whole instead of defining people by certain characteristics that align with inclusion policies.”

As the engagement session concluded, both Prof Mkwananzi and Dr Buckler expressed hope that stakeholders could learn from one another’s experiences, fostering a more inclusive educational environment.  

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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