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24 September 2024
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Story Aimée Barlow
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Photo Supplied
Louzanne Coetzee, who made history by clinching South Africa’s second medal at the Paralympics, earning a bronze in the T11 1 500 m women’s final with a personal best time, received a warm reception when she recently returned home.
The celebrated Paralympic bronze medallist Louzanne Coetzee returned home to a warm welcome at the Bram Fischer International Airport on 10 September 2024.
Family, friends, colleagues, Arista students, and media gathered to celebrate her remarkable achievement and show their support.
Coetzee – KovsieSport Coordinator of Parasport at the University of the Free State (UFS) – made history by clinching South Africa’s second medal at the Paralympics, earning a bronze in the T11 1 500 m women’s final with a personal best time. Her dedication and hard work have not only brought her personal glory but have also inspired many in her community.
Among those present to welcome her was Jerry Laka, Director of KovsieSport, who expressed his pride in Coetzee’s accomplishments.
"We as KovsieSport are so proud of our colleague Coetzee. It is amazing to see a product of KovsieSport achieving greatness on the world stage. She is truly an inspiration to us all," said Laka.
“I am so glad to be back, and to have Laka and my colleagues here. It means the world to me. Having Laka here shows his commitment to my career and ParaSport and his staff in general,” shared Coetzee, her gratitude evident.
She further expressed her appreciation for the support she received, stating, “I don’t have the words to describe how thankful I am for the support from the UFS community.”
Coetzee’s return is a proud moment for South Africa and the University of the Free State (UFS) community. Welcome home, Louzanne! Your achievements have made us all proud!
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.