Latest News Archive

Please select Category, Year, and then Month to display items
Categories
UFS News Media Release Research
Years
2019 2020 2021 2022 2023 2024 2025
Months
January February March April May June July August September October November December
Previous Archive
01 April 2024 | Story Lacea Loader | Photo Sonia Small
Prof John Klaasen, newly appointed Dean: Theology and Religion at the UFS
Prof John Klaasen, newly appointed Dean: Theology and Religion at the UFS.

The University of the Free State (UFS) has appointed Prof John Klaasen as Dean: Faculty of Theology and Religion from 1 April 2024. 

Prof Klaasen is Professor of Theology and has served two terms as Head of the Department of Religion and Theology at the University of the Western Cape. He also served as Professor in the Kjell Nordstokke Chair in Community Development at VID Specialized University in Norway and is Adjunct Professor at VID Specialized University. 

“With his vast experience and involvement in research projects – nationally as well as internationally – Prof Klaasen will make a significant contribution to the Faculty of Theology and Religion and the university in general. This will also be valuable in support of the university’s Vision 130, which is an expression of our strategic intent to position the institution towards 2034 when the UFS will be 130 years old,” says Prof Francis Petersen, Vice-Chancellor and Principal of the UFS.

As a practical theologian, the intersection between praxis and theory has occupied Prof Klaasen’s research for the past decade. He has researched and published extensively within theology, community development, and narrative. Aspects such as narrative, embedded knowledge, participation, reconciliation, and the non-rational tradition of knowledge are some of the areas that occupy his research outputs.

He is involved in numerous international research projects, which include a COST project with 17 European institutions, a project on reconciliation processes with institutions in Canada and Nordic countries, an international initiative on community development with various institutions in Europe, and a NORPART initiative with Norway and Malawi.

Community engaged scholarship forms a central part of his research and work at the intersection of religion and social justice. Prof Klaasen is involved in various community development projects, including homes for the aged, lay training, water issues, and lay theological education.

His teaching is situated within a socially just pedagogy, which puts the students at the centre of knowledge production. This innovative way of knowledge production intersects students, teachers, and the lecture room within a dynamic space of contextualisation.

“I am grateful for the opportunity to join such a prestigious institution and will endeavour to contribute to Vision 130 through commitment, innovation, trust, and ethical leadership – which represents the university’s commitment to be recognised by our peers and society as a top-tier university in South Africa, ranked among the best in the world,” says Prof Klaasen.

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.

Economic and Management Sciences

Education

Health Sciences

The Humanities

Law

Natural and Agricultural Sciences

Theology and Religion

Open Distance Learning

Business School

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