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24 May 2019 | Story Eloise Calitz | Photo Charl Devenish
Gangster book Discussion
From left: Jacques van Wyk from the Association of Certified Fraud Examiners (ACFE) Cathy Dlodlo, news editor from OFM; Pieter Roux from the UFS Business School; Alta Vermeulen from the UFS Department of Political Studies and Governance and Pieter-Louis Myburgh, author

A packed Odeion Auditorium at the University of the Free State was welcomed by Professor Helena van Zyl, Head of the UFS Business School. The reason being, a panel discussion with award-winning investigative reporter and author, Pieter-Louis Myburgh, on his much-publicised book Gangster State: Unravelling Ace Magashule's Web of Capture. The programme took the form of a panel discussion. The panellists included Pieter-Louis Myburgh, author; Jacques van Wyk from the Association of Certified Fraud Examiners (ACFE); Cathy Dlodlo, news editor from OFM; Alta Vermeulen from the UFS Department of Political Studies and Governance; and Pieter Roux from the UFS Business School.

In his introduction, Myburgh said he was happy that he was able to come to Bloemfontein and have the discussion, since South Africans should cherish freedom of speech and a free press.

The research for the book took 13 months to conclude, and during this time he spent a lot of time in the Free State and Bloemfontein. He mentioned that the book gave him the opportunity to present a condensed account of what he discovered; he could therefore share more, as opposed to just reporting on a story in the newspaper. For him, investigative reporting should always be fact based and open to scrutiny.

Some of the topics raised by the panel was concern about the perception that investigative journalists are focusing more on corruption in the public sector and less on the private sector. This was, however, discarded as a myth, as Myburgh pointed out that he exposed both private and public sector dealings in order to provide the full scope of involved parties.

Focusing on whistle blowers, the panel challenged the verification of whistle-blower information. Myburgh responded that journalists never use only one whistle-blower’s evidence, since that is merely the start of the investigation. Further investigation was necessary, and facts had to be verified. With that said, there is still a lot to be done with regard to the protection of whistle-blowers, he concluded.

The floor was opened to the audience, which provided the opportunity to ask questions and raise concerns about what was mentioned during the panel discussion. The audience eagerly participated in the discussion. In conclusion, Myburgh reiterated that society plays a vital role in keeping those in power to the promises they make.

After the discussion, the audience had the opportunity to have their books signed by the author.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

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.

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