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25 April 2019 | Story Rulanzen Martin | Photo Jolandi Griesel
Dr Whitty Green, Dr Engela van Staden and Prof Francois Strydom
Dr Whitty Green, Dr Engela van Staden and Prof Francois Strydom, Senior Director of CTL.

Data, quality, and capacity building were among the main topics of discussion at the third annual Teaching and Learning Conference hosted by the Centre for Teaching and Learning at the University of the Free State (UFS).

Dr Engela van Staden, Vice-Rector: Academic, welcomed delegates on the first day of the conference. The three themes of the conference were quality, capacity and excellence. “These three constructs have never been more relevant in South African higher education than now,’ said Dr Van Staden. “The quality of education, globally, and specifically in SA, is being questioned. Both public and private sectors are demanding graduates that need to meet the challenges of the 21st Century.” 

The aim of the teaching and learning conference is to foster more collaboration between academics at the UFS. A total of 14 academics from across all seven faculties presented during the two-day conference. Dr Whitty Green from the Department of Higher Education and Training (DHET) delivered the keynote on the first day and Prof Corlia Janse van Vuuren delivered the second day keynote.

The inclusion of technology in the world of work and the use of data analytics are fundamentally confronting our learning and teaching place. “And I hope some of the issues will be addressed in the presentations,” Dr Van Staden said. 

Bringing down silos of research and teaching

Dr Green spoke about the Enacting the National Framework for Enhancing Academics as University Teachers. “Academics are teachers and researchers and they have to engage with the community. There are multiple roles and these roles intersect,” Dr Green said. In order to build capacity in the system it is important to understand the multiple natures of the roles and try to work with them. This is the reason why the teaching development grant and teaching grant have been pulled together to form the University Capacity Grant. “We are trying to break down the silos of research development and teaching development at universities,” he said.

Prof Janse van Vuuren, Head of the UFS School of Allied Health Professionals, delivered her keynote address on Quality, Capacity and Excellence: Dotting the Is and crossing the Ts in a changing, data-driven Higher Education Environment. She shared her story to establish a faculty-based operational framework for teaching and learning.

“I did not know how to bring all of the issues ranging from research, teaching and learning and student success into one framework,” said Prof Janse van Vuuren. She developed a faculty-based operational framework for teaching and learning for the Faculty of Economic and Management Sciences.

The third annual UFS Teaching and Learning Conference took place from 26 to 27 March 2019.



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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