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10 February 2021 | Story Leonie Bolleurs | Photo Stephen Collett
Prof Lizette de Wet
Prof Lizette de Wet is of the opinion that there is no gender distinction between what women and men could achieve in the field of Computer Science and Informatics.

“I consider obtaining my PhD while balancing my work, my marriage, and two young daughters (who did not sleep through before reaching age four!) as one of my biggest achievements,” says Prof Lizette de Wet, Associate Professor in the Department of Computer Science and Informatics at the University of the Free State (UFS).

Many firsts

Her achievements in the field include much more than the PhD referred to. On 11 February, International Day of Women and Girls in Science, the UFS celebrates her for pioneering the human-computer interaction (HCI) research environment, specifically the evaluation of usability and user experience in diverse application areas, where she has experienced and established many firsts.

Prof De Wet was one of the first students to complete a master’s degree in this discipline at UNISA (1994). She says the external examiner for her master’s was from the University of York in the UK, as expertise in South Africa was still lacking at the time.

In the Department of Computer Science and Informatics at the UFS, she established the HCI research area. This involved undertaking research projects in the discipline and developing curricula for a second-year module, an honours module, and a master’s module. 

“The second-year module was also one of two modules on campus to first use iPads in class to assist in a blended learning approach,” she says. 

 

Taking the human being into consideration is much more important than simply concentrating on the programming code that needs to be written.– Prof Lizette de Wet


A woman’s contribution

Prof De Wet believes that in the research field of HCI, the focus is on the user and his/her overall user experience (including emotions, feelings, and competence) when using computers. “Taking the human being into consideration is much more important than simply concentrating on the programming code that needs to be written.”

Whether the human being writing the code is male or female, does not matter. Prof De Wet is of the opinion that there is no gender distinction between what women and men could achieve in the field of Computer Science and Informatics. 

“Although the students are still predominantly male, in the past few years more and more female students have enrolled for our postgraduate studies and completed it successfully, some of them with exceptional marks. In South-Africa, many women are making their mark in this discipline by being heads of departments at universities or in the private sector, by chairing national and international conferences, and by publishing ground-breaking research,” she adds.

Success with virtual reality

Over the past few years, Prof De Wet has concentrated on using brain-computer interfaces (BCIs) and virtual reality in her research. By the end of 2020, she had successfully supervised 11 master’s students and four PhD students, with one of the master’s students delivering ground-breaking research using virtual reality in the training of nursing students.

She elaborates: “The prototype involved virtually examining and evaluating a patient (with a foreign object lodged in a lung) in a virtual ward while wearing an Oculus Rift headset. The evaluation results were extremely positive and will be continued as a PhD study to investigate how to attempt to relieve motion sickness in an immersive virtual clinical simulation.”

Starting out as someone who never had the opportunity to lay her eyes on a computer during her school years, Prof De Wet is of the opinion that in South Africa – being a Third World country – there are numerous opportunities to make computers accessible to rural communities, and even to the large senior population who did not grow up with technology and might fear it.

With her passion for the profession, she not only delivers pioneering work, but also trains professionals in computer sciences who will contribute to a better tomorrow. 

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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