Latest News Archive

Please select Category, Year, and then Month to display items
Categories
UFS News Media Release Research
Years
2017 2018 2019 2020 2021 2022 2023 2024
Months
January February March April May June July August September October November December
Previous Archive
25 November 2020 Photo Anja Aucamp
Prof Colin Chasi outside Centenary Complex (Anja Aucamp)
Prof Colin Chasi is the Director of the Unit for Institutional Change and Social Justice at the UFS.
The 2020 programme around the 16 Days of Activism against Gender-Based Violence will be novel in that it will be run online. “For each person to register and log into the various programmes is a small step. But each such step makes a big difference by saying that the lives of survivors matter and by underscoring that gender-based violence will not be tolerated at the UFS,” says Prof Colin Chasi, Director of the Unit for Institutional Change and Social Justice (UICSJ) at the UFS.

Women and girl children have experienced increased violence in the time of the COVID-19 lockdown, states the UN Secretary General's report, Shared Responsibility, Global Solidarity: Responding to the socio-economic impacts of COVID-19. In South Africa, there have been reports of a scourge of rape in the post-school education and training sector. At the UFS, these developments have challenged the Gender Equity and Anti-Discrimination Office (GEADO) to come up with innovative online interventions.

In 2019, the University of the Free State (UFS) established the Unit for Institutional Change and Social Justice (formerly known as the Institute for Reconciliation and Social Justice, founded in 2009). The GEADO was launched on 8 April 2019 and was incorporated into the unit to run a cross-functional Sexual Assault Response Team (SART) and to organise programmes that combat gender-based violence and other forms of gender injustice.

“We have been able to offer our services with minimal disruption throughout the year,” says Geraldine Lengau, a Bloemfontein Campus-based GEADO officer.

“Most exciting for us is that we have taken the lockdown as an opportunity to expand the scope of ways in which we engage with students and communities,” notes Chelepe Mocwana, a GEADO officer on the South Campus. “GEADO has offered a number of online webinars and seminars, and the university has made telephonic services available that support, for example, the mental health of survivors of sexual violence.”

“On the Qwaqwa Campus, where we still have some problems with consistent access to data networks, we were pleased to see that our webinars have been well-subscribed to by students and staff members,” reports Siya Magayana, who is the GEADO officer on this campus.

“Each such step makes a big difference by saying that the
lives of survivors matter and by underscoring that
gender-based violence will not be tolerated at the UFS.”
—Prof Colin Chasi, Director of the UICSJ.

Since 1991, activists around the world have annually coordinated activities around the 16 Days of Activism against Gender-Based Violence. The 16 days of activism begin on 25 November, the International Day for the Elimination of Violence against Women, and run until 10 December, which is International Human Rights Day. The start and end dates signify that the fight to eliminate violence against women advances human rights for all.

Activities to mark the 16 Days of Activism against Gender-Based Violence will be advertised on various UFS communication platforms.

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