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17 May 2023 | Story Valentino Ndaba | Photo Charl Devenish
Shining the light on the darkness
Shining the light on the darkness, which is crime.

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The University of the Free State (UFS) Department of Protection Services works around the clock to safeguard students in order to reduce risks of crime on and around the three UFS campuses. On 12 May 2023, the South African Police Service (SAPS), the Brandwag Sector Community Policing Forum (CPF), and Protection Services organised a safety awareness campaign from 19:00 to 21:00, which is the peak period for crime incidences in the neighbourhood.

“Continuous awareness to enhance student safety in the Brandwag area highlights the commitment of the UFS, SAPS, and the community through the CPF structure towards student safety,” said Jacobus van Jaarsveld, Deputy Director: Threat Detection, Investigations, Compliance and Liaison in Protection Services.

Mitigating risks and maximising safety

Students and staff are the most valuable assets of the UFS. Protection Services has various initiatives and a dedicated team that ensures the physical safety of all who study and work at the institution. The safety, health, and well-being of the university community remains the university’s priority. Off-campus safety and security are at the top of the list, hence Protection Services, in collaboration with external stakeholders, remains steadfast in its attempts to create a safe environment.

Continuous awareness campaigns

On 16 May 2023, Protection Services continued to spread safety awareness in the Universitas neighbourhood (with the assistance of students), where many UFS students live – first in Badenhorst Street and then in Stofberg Street. Throughout the year, these patrols and awareness initiatives will continue, expanding to the South and Qwaqwa campuses.

The UFS value framework includes compassion as a core virtue. As a result, we as a university take pleasure in our dedication to fostering environments that are not only favourable for excellent teaching, learning, and scholarship, but also emphasise the well-being and happiness of the campus community. Vision 130, an expansion of the strategic purpose to reposition the institution for 2034 when the university will celebrate its 130th anniversary, demonstrates our value of care.

Contact details:

If you need any assistance, call Protection Services on its toll-free number 0800 204 682, which is available 24/7.

 

Off-campus security liaison vehicle spotted in the safety convoy

Off-campus security liaison vehicle spotted in the safety convoy


The SAPS Visible Policing Unit present to raise awareness about safety

The SAPS Visible Policing Unit present to raise awareness about safety


Present in the fight to build safer neighbourhoods was the Sector 2 CPF

Present in the fight to build safer neighbourhoods was the Sector 2 CPF


Students living off campus engaged with the team during the anti-crime drive

 

Students living off campus engaged with the team during the anti-crime drive


UFS Protection Services together in arms with the SAPS and members of the CPF

 

UFS Protection Services together in arms with the SAPS and members of the CPF


Ensuring that students who live off campus remain a priority

 

Ensuring that students who live off campus remain a priority


Keeping the neighbourhood safe and secure is of the utmost importance

Keeping the neighbourhood safe and secure is of the utmost importance

 


Targeting crime hotspots and conducting a needs analysis of the students living in those areas to ensure their well-being

 

Targeting crime hotspots and conducting a needs analysis of the students living in those areas to ensure their well-being

 


Working around the clock to serve and protect the lives of students living off campus

 

Working around the clock to serve and protect the lives of students living off campus

 


Promoting a crime-free off-campus environment

 

Promoting a crime-free off-campus environment

 


 

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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