Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
11 August 2021 | Story Dr Cindé Greyling | Photo Supplied
Leading a happy and productive workplace - Susan van Jaarsveld

Susan van Jaarsveld is the Senior Director: Human Resources at the University of the Free State. Since the HR department is the ‘go-to person’ for all employee-related matters, her duties involve managing activities such as recruitment and selection, employee relations, performance management, training and development, and talent management. “As the employees are the most important asset, we have to ensure a happy and productive workplace,” she explains. 

What is the best thing about your job?
You always move between what is good for the UFS and what is good for the employees, and you have to build that bridge and find a good balance. The best part is that you can really make a difference – for an employee or a team – by helping them to let their (hidden) talents come to life and helping them realise their dreams.

What is the best and worst decision you have ever made?
Two of the best decisions I ever made were to have my two amazing children. They have enriched my life and I cannot imagine a world without them in it. I made many bad decisions, but I choose not to dwell on those. In hindsight, many of these bad decisions taught me valuable life lessons and also led me to wonderful new opportunities.

What was/is the biggest challenge of your career?
The biggest challenge throughout my career was to balance my work and home life. This is certainly a challenge that many people, especially women, can relate to. It means constantly feeling guilty. When I was at work, I felt guilty that I’m missing out on important parts of my children’s lives, and I felt guilty when I was spending time with my family and not working. My children are both grown-up now and maintaining a balance between my home and work life has become easier.

What does the word woman mean to you?
Being a woman is complicated, multi-faceted, and often unfair. Womanhood is about strength, love, and compassion; a human being who can be powerful and assertive and kind at the same time.

Which woman inspires you, and why?
I am inspired by South African women, the single mothers who raise their children in difficult circumstances, the ones who make ends meet every day, the CEOs who manage big companies successfully, the ones who are battered and bruised by life and other people but still keep going, the health workers who are carrying us through this COVID-19 pandemic, the ones who stand up against injustice and say, ‘when you strike a woman, you strike a rock’.

What advice would you give to the 15-year-old you?
You are enough! Relax and enjoy life to the fullest.

What is the one self-care thing that you do? 
I exercise regularly, it helps me to stay healthy in body and mind.

What makes you a woman of quality, impact, and care?
I choose to be positive, fair, and caring in everything I do. It is a privilege to be part of the UFS, where I strive to continuously improve the institutional culture, together with a very supporting and competent team. Care (commitment, attraction, retention, excellence) is the acronym that best describes the vision of the HR team; we care and incorporate this into every initiative we undertake. 

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.

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