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13 December 2024
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Story Anthony Mthembu
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Photo Charl Devenish
Lieutenant Colonel Dr Rifa Tshivhase, Head of the Department of Surgery at 3 Military Hospital in Bloemfontein, addressed graduates within the Faculty of Health Sciences at the University of the Free State on 10 December 2024.
Momentous and joyous – these are some of the words used to describe the December 2024 graduations at the University of the Free State (UFS). In celebration of the academic achievements of its students, the UFS hosted graduation ceremonies at the Callie Human Centre on its Bloemfontein Campus from 9 to 10 December 2024.
Prof Anthea Rhoda, acting Vice-Chancellor and Principal of the UFS, encouraged the graduates to always acknowledge and recognise the significance of this achievement as they transition from being UFS students to being UFS graduates.
Undergraduate and postgraduate achievements
At least 2000 undergraduate qualifications and postgraduate qualifications were conferred. As such, there were some standout academic achievements across the sessions. For instance, Itumeleng Pooe received his Advanced Diploma in Theology cum laude, making him the only graduate in the Faculty of Theology and Religion to receive his qualification with distinction during these graduations. In addition, Dr Bobuin Jr Valey Gemandze Oben – at just 28 years old – was the youngest PhD graduate from the Faculty of Law at the graduation ceremony, which took place on the morning of 9 December 2024.
Conferring Honorary Doctorates
Some highlights from these graduations were the recipients of honorary doctorates, as well as the keynote speakers. The Faculty of Economic and Management Sciences (EMS) at the UFS conferred an honorary degree on Prof Murray Leibbrandt, Research Chair in Poverty and Inequality Research in the Southern Africa Labour and Development Research Unit (SALDRU) at the University of Cape Town (UCT). In addition, the Faculty of The Humanities at the UFS conferred an honorary degree on HE Bineta Diop, Special Envoy of the Chairperson of the African Union Commission on Women, Peace, and Security.
On the final day of the graduations, graduates within the Faculty of Health Sciences at the UFS were addressed by Lieutenant Colonel Dr Rifa Tshivhase, Head of the Department of Surgery at 3 Military Hospital in Bloemfontein. In her address, Lieutenant Colonel Dr Tshivhase encouraged and challenged the graduates to actively seek out good in the world.
As the December 2024 graduations concluded, several of the graduates within the Faculty of Health Sciences indicated that the most memorable moments in the session were the cheers and applause they received as they walked across the stage.
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.