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17 May 2022 | Story Lunga Luthuli | Photo Supplied
University of Limpopo visits UFS Protection Services
Staff from the University of the Free State Department of Protection Services pictured with the delegation from the University of Limpopo during their benchmarking visit.

The University of the Free State Department of Protection Services hosted a delegation from the University of Limpopo on Friday, 13 May 2022 as part of benchmarking best protection service practices. 

During the visit, discussions included the management of student protests, gender-based violence, fire emergency responses, and challenges experienced with the Campus Protection Society of Southern Africa.

The visit by the University of Limpopo follows similar benchmark visits by the Central University of Technology, Sol Plaatje University, and the University of Johannesburg.

Noko Masalesa, Senior Director: Protection Services, said: “The visit by the University of Limpopo was used to take them through our vision 2024, to show them some of the advanced CCTV cameras that the UFS has installed, the policies, and organisational structure. Part of that strategy is to enhance the university’s security technology in line with the best practices.”

Masalesa said: “The UFS has a good model to manage all the different functional areas of the Department of Protection Services, and most universities are impressed with the new CCTV cameras that we rolled out and the other advances made in the development of protection services over the past five years.”

To remain among the leaders in protection services within the higher education, the department also visited Stellenbosch University, the University of Cape Town, Cape Peninsula University of Technology, and the University of Nairobi and Kenyatta University – both in Kenya.

Mampuru Mampa, Director: Safety and Security at the University of Limpopo, said: “Like other institutions, the University of Limpopo is dealing with crimes affecting students on and off campus, as well as student protests. Fostering collaboration and benchmarking will assist our protection service departments to develop and implement a standardised approach to improve safety on our campuses.”

On lessons learnt during the benchmarking tour, Mampa said: “We have learnt about security system integration, investigation systems approach, off-campus security, and student protest management.”

Mampa believes “it is important for protection service departments across the higher education sector to develop standardised security measures to improve safety, and benchmarking assists in closing gaps in protection services”.

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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