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21 August 2019
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Story Thabo Kessah
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Photo Thabo Kessah
Keafon Jumbam is gearing herself for the institutional Three Minute Thesis competition.
Keafon Jumbam is a PhD candidate whose research on food and foxes has won her the first prize of R8 000 in the recent Faculty of Natural and Agricultural Sciences’ Postgraduate Flash Fact Competition. Her brief in the competition was to
summarise her research in three minutes, using only one static slide.“The competition started at departmental level on both campuses. The idea was that the best student in each department is then selected to go for the faculty-level competition on the Bloemfontein Campus. Summarising the entire research into three minutes is no easy feat, but a great way to gauge how well one has mastered your work,” she said.
Far-reaching research
“Thought-provoking presentations on research, ranging from technology to track academic progress, traditional medicine as alternatives to expensive prescriptions, and suggesting insects as food alternatives to curb hunger in this era of severe droughts and food shortages. The competition was tough, but it highlighted the level of research competitiveness on the Qwaqwa Campus. I hope that more students will join in such opportunities to build themselves up and to showcase our research output as Qwaqwa students,” added Jumbam from the
Department of Zoology and Entomology.
Institutional finals
Her next challenge is the institutional competition to be held on 23 August 2019, which could qualify her for the national competition.
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.