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03 January 2023
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Photo Evert Kleynhans
Dr Dolf van Niekerk.
The University of the Free State (UFS) would like to express its condolences to the family and friends of South African author, Dr Dolf van Niekerk, on his passing.
Dr Van Niekerk, the recipient of an
honorary doctorate from the UFS, passed away on 31 December 2022. The UFS awarded a Doctor of Letters to Dr Dolf van Niekerk during its April 2021 graduation ceremony.
Dr Van Niekerk was a celebrated author who also achieved fame as a dramatist and radio presenter. An alumnus of the UFS, he received a BA degree from the university cum laude in 1949. He also played a role in academia and was an emeritus professor at the University of Pretoria until his retirement in 1994. His work includes 27 books in philosophy, poetry, fiction, drama, and memoirs, for which he has received numerous awards. These include the
Eugene Marais Prize, the MER Prize, and the Scheepers Award for Youth Literature.
“Dr van Niekerk is a Kovsie alumnus with a deep connection to the Free State. He played a significant role in the country’s literary history, and it was an honour for the university to award him with an honorary degree. A wordsmith of note, Dr van Niekerk’s contributions to South African literature, radio, and stage will live on," says
Prof Francis Petersen, Rector and Vice-Chancellor.
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.