Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
11 February 2020 | Story Valentino Ndaba | Photo Stephen Collett
UFS official opening
Kovsies is on track with the firm foundation laid in previous years. 2020 is a year where visibility and impact is the key theme.

WATCH: Official Opening 2020

Tackling 2020 with rigour and vigour is the top priority for the University of the Free State’s agenda and it’s all systems go after a year of building a solid foundation. Prof Francis Petersen, UFS Rector and Vice-Chancellor, addressed staff in his official Opening speech at the Bloemfontein Campus on Friday 7 February 2020.

“The university is on track with what it set out to deliver in 2019” Prof Petersen shared the successes of 2019 with the audience and outlined his vision and plans for 2020 with visibility and impact as the key themes. 

Prof Petersen urged staff to work hand-in-hand to ensure an outcome that generations will inherit with pride. “We have our eyes firmly set on the far horizon, to ensure that we bestow an institution on the next generation that is different from the past, a place where every essence is in perpetual renewal. That means every one of us is smaller than the institution, and every one of us needs to lay a brick that builds a university that is different from the past, more impressive than the past, an institution that will grow constantly.” 

Setting the pace

As a frame of reference, Prof Petersen pointed to engagement, conversation, clear communication and decisive action to yield the type of environment in which we all want to work and study. “I can assure you that we will continue with that engagement, in a sphere of respect, tolerance for different views by always focusing on what the Integrated Transformation Plan (ITP) stands for – which is fairness and social justice.”

Reflecting on the year that was.


Prof Petersen reflected on 2019 as a year which focused on a return on investment delivery as it relates to the Strategic Plan, ITP, seven Vice-Chancellor’s projects, institutional and multi-stakeholder group and institutional Risk Register. These guiding documents laid a firm foundation for implementation processes to take place this year.

Leading the way

The Rector related some success stories which include the increased number of NRF-rated researchers. “In the area of student success, we are probably leading the country and our inputs are globally known.”

As a national leader on the infrastructural and student accommodation front, the Department of Higher Education, Science and Technology often consults the UFS for advice on how other institutions can adequately spend their infrastructure grants. Moving forward, the university also plans to partner more with national and international institutions of higher learning with the aim of strengthening research and innovation ties.

On inclusiveness and social cohesion

Pressing issues such as gender-based violence and xenophobia are constantly being tackled by the Unit for Institutional Change and Social Justice in collaboration with other academic and support services. These parties have conducted and developed critical conversations, position papers, and policies to guide the institution towards an inclusive and socially cohesive space which embraces the values of ubuntu and respect.

In closing, Prof Petersen reminded the university community of the crucial role each individual plays in building a bright future. “We must always remember that the UFS exists through its staff and students and should never let one of them feel neglected or unheard.” 

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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept