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17 February 2020 | Story Xolisa Mnukwa | Photo Supplied
Student Counselling staff members
UFS SCD urges students to make use of the mental-health student toolkit to take control of their wellbeing and happiness and enjoy a compelling student life.

The University of the Free State’s (UFS) Student Counselling and Developmentnt (SCD) was recognised and applauded at the 2019 annual conference of the SSouthern African Association for Counselling and Development in Higher Education (SAACDHE), where they won the SAACDHE best region award for presenting the UFS Mental Health Student Toolkit at the conference, and for being active in the training and development of the UFS SCD team.

UFS Student Counselling and Development win at SAACDHE conference

The UFS, which was the only member institution of the Free State region, maintained vitality and relevance in the work they produced, competing against a number of student counselling centres in regions across South Africa, including KwaZulu-Natal, Western Cape, Eastern Cape, Vaal North-West, Gaunolanga Gauteng, Limpopo, Mpumalanga, Swaziland, and Botswana.

Students to take control of their wellbeing into their own hands

With the vision to promote, enable, and optimise students’ self-direction, the SCD launched the first edition of the student toolkit on Friday, 23 August 2019 – in an effort to assist students in coping with challenges they face in their personal lives during their period of study at the UFS. 

According to Counselling Psychologist in the SCD and compiler of the UFS Mental Health Student Toolkit, Lize Wolmarans, “The UFS Mental Health Student Toolkit is about putting the control of your wellbeing and happiness in your own hands. Taking responsibility for your mental health and understanding that it's the key to success in your personal, academic, and professional life as a student.” 

Dr Melissa Barnaschone, Director of the SCD, further explained that, “This is the culture our department wishes to instil in students – by building a holistic sense of wellbeing into life on campus. The toolkit was developed to empower students by providing increased access to mental-health resources and support.” 

“We have big plans for the toolkit, one of which is to develop it into an interactive app for students. This will enable students to interact with the information in more depth. Secondly, the toolkit will be expanded and adapted annually as we get feedback from students. We will add new relevant topics and continue to improve the overall layout and content. We are also able to learn very valuable information from the topics accessed online – we thus know which topics are the most/least relevant to our students,” Wolmarans added.

UFS Mental Health Student Toolkit a winning formula for student wellness

As a result of the exemplary methods of student counselling in the toolkit, a number of universities and institutions of higher education within South Africa have expressed interest in buying the toolkit to benchmark and prototype the effective student mental-health and wellbeing approaches portrayed in the toolkit.  Wolmarans further explained that, “This is South Africa’s first mental-health guide for university students, and other institutions recognised the potential advantages of purchasing a finished product instead of having to create their own toolkit.”

At the 2019 conference, Tobias van den Bergh, Counselling Psychologist at SCD (Qwaqwa Campus), was elected as Research, Training, and Development coordinator for SAACDHE.

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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