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Wellness drive officially launched

15 June 2020 | Story Amanda Thongha

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WATCH: Prof Francis Petersen, Rector and Vice-Chancellor of the UFS, Prof Hendri Kroukamp, the Dean of the Faculty of Economic and Management Sciences, Susan Van Jaarveld, Senior Director at the Department of Human Sources, and Brandon Jacobs, Head of Retail and Business Banking at Standard Bank, Central Free State explain what the “I Am’ Wellness programme is about.

Maintaining a healthy work-life balance continues to be a juggling act for most, more so during this uncertain time dominated by COVID-19. To help individuals cope with life challenges, the University of the Free State (UFS) has launched a new short learning programme that addresses all aspects of well-being.

The ‘I Am’ Wellness short learning programme, open to UFS staff, private individuals, and businesses, kicks off on 19 June 2020. A number of prominent South Africans participating in the launch of the ‘I Am’ Wellness short learning programme are, among others, Kovsie alumna and former Miss World, Rolene Strauss; former Miss South Africa, Amy Kleinhans; and motivational speaker and author, Alison Botha. Former Public Protector Thuli Madonsela rounds off the list of public figures who have also expressed interest in the programme.

Burneline Kaars, Head of Organisational Development and Employee Wellness at the UFS, says those interested in the programme can look forward to content focusing on different topics and themes related to wellness aspects. Participants will discover the fun of finding ways to improve their health and well-being through activities, games, quizzes, and many more.

“Upon completion of this programme, participants will be equipped to understand and improve their own personal and work-related well-being. They will be empowered to increase their own well-being and reach their optimal potential in both their personal and work life.”

The programme, a joint effort of the UFS Division of Organisational Development and Employee Wellness and the UFS Department of Industrial Psychology, can be completed online or as part of contact sessions, depending on the needs of the participants. Participants need to avail themselves four hours a week to successfully complete the programme. Those who master the two-month programme will also receive a certificate of completion from the UFS.

The programme is offered to UFS staff at no cost. External audiences will pay R9 500 per person to complete the programme. Groups of 10 and more will get a special discount when signing up.

Registration for the formal programme opens on Wednesday, 24 June 2020.

For more information, contact Burneline Kaars at KaarsB@ufs.ac.za.

Other programmes done by the UFS Organisational Development and Employee Wellness office:

First #MentalHealth awareness run to Stellenbosch to bring hope
Kovsies pedal smoothie bike for #MentalHealth

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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