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01 January 2020
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Story Eugene Seegers
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Photo Kaleidoscope Studios | Sonia Small
Dr Maria Madiope took over the reins of the UFS South Campus at the beginning of January 2020.
The Council of the University of the Free State (UFS) approved the appointment of Dr Maria ‘Marinkie’ Madiope as Principal of the South Campus for Open Distance Learning (ODL) during a meeting held on 20 September 2019. Dr Madiope took over the reins of the UFS South Campus at the beginning of January 2020.
Educator at heart
Educating and empowering others are key aspects of Dr Madiope's life. She has served as the Director for University Teaching and Learning at Unisa since 2015 and takes her role incredibly seriously, achieving a transformative curriculum at the colleges under her care since her appointment.
Dr Madiope holds a PhD in Education from Unisa, with a specialisation in Didactics; her next two degrees where completed at the then RAU, which is today known as the University of Johannesburg: a BEd in 1999, followed by an MEd in 2001, both specialising in Computer-based Instruction. She previously obtained her BA Ed in 1985 and a BEd in 1988 from the University of the North. Her initial training as a teacher was from the Hebron College of Education from 1980-81.
Dr Madiope is also the editor of the only journal in ODL, Progressio, since 2016. Her expertise in E-learning is another of her strong points. Together with her team, Dr Madiope designed and developed the first online course in Curriculum Transformation, which is being piloted at Unisa. Her work has been rewarded with awards such as the Unisa Gender Activism: Advocacy and Promotion of Women’s Rights 2013, Unisa Woman of the Year 2013, and Unisa Best Performer 2013.
Dr Madiope brings with her a wealth of experience to UFS and her vision is to increase access to a wider base of learners with potentially having more African learners enrolled. The first point of call would be to have more learners coming from Lesotho and then the rest of the SADEC region, having the UFS become a leading distance-learning university. One of the key projects that Dr Madiope wishes to tackle is early childhood development. “I believe in educating educators to ensure that they are best equipped to provide the latest and relevant Early childhood and development practices that are on par with the rest of the world,” she says.
Community leader
In addition to being an experienced educator and administrator, Dr Madiope is instrumental in community projects that lie close to her heart. Whether it is large-scale advocacy for women’s rights or her personal involvement in the supply of sanitary towels for schoolgirls as part of a programme to empower the girl child through exposing them to options, it is humbling to watch her compassion in action.
She further intends to strengthen the relationship of the university with TVET Colleges and community colleges by providing mutually beneficial programmes that will up-skill those colleagues by giving them an opportunity to work with experienced UFS staff members. She says, “Reaching out to colleagues in TVET and Community colleges will offer them the opportunity to advance their lecturing and learning programmes, which will only lead to benefiting their learners and South Africa as a whole.”
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
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.