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07 March 2018 Photo Xolisa Mnukwa
UJ to benchmark Kovsie CUADS operational services
UJ Disability unit delegates Alban Burke and Leila Abdul Gafoor join UFS CUADS Assistant director, Martie Miranda and Dean of Student Affairs, Pura Mgolombane for a discussion on the operative aspects of the UFS Center for Universal Access and Disability Support.

The University of Johannesburg (UJ) Psychological Services and Career Development Department is looking to enhance the quality of services provided by its disability unit. Team leader of the Psychological Services division at (PsCAD): Leila Abdul Gafoor said University of the Free State (UFS) was on its list of targets when it boiled down to possibly benchmarking and sharing the Center for universal access and disability support (CUADS) service structures and operational procedures that could aid a more pleasant and complete university experience for students with disabilities at UJ.

Director of PysCad at UJ, Alban Burke, considered one of the strengths of his department to be its ability to serve as a hot-stop for their students with academic opportunities that could assist them financially, psychologically, intellectually and perceptually. He did, however, point out that one of their main challenges lies in their difficulty sourcing capital and resources that are exclusive to the disability unit within his department which is very expensive to operate and sustain. 

Dean of Student Affairs, Pura Mgolombane, started his response to PysCad delegates with the question: “Which strategies should be operationalised in order to cater for the core needs of students?” He said the strategy should inform the operational structure that a university employs. Thus, the strategy should centre universal access as the Integrated Transformation Plan (ITP) intended it, and in that way the structure would need to support the notion of universal access; and therefore address student needs. The UFS is currently undergoing a phase of integrated transformation which Mgolombane explained which among other things, demanded avid preparations towards ensuring that universal access was prioritised. 

Martie Miranda, Assistant Director for CUADS, clarifies that CUADS considered repositioning its office beneath academics due to a majority of their occupational services comprising of academic support for students with disabilities. However, due to Student Affairs’ newly developed “humanising strategic model” the centre remained put as they are being afforded efficient opportunity to change mindsets, and create an institutional culture which endorses the humanising of students with disabilities as well.

Mgolombane said in order for an institution to deliver sufficient universal access, students’ needs and experiences had to be considered and prioritised from conception. The planning and future implementation should not serve as an afterthought when allocating financial, human, physical and other resources to the various university environments. 

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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