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09 March 2020 | Story Valentino Ndaba | Photo Sonia Small
Human Rights
Human Rights Month is a time to reflect on the past and celebrate the present.

On 21 March 2020, South Africa will celebrate Human Rights Day. The day has a specific meaning, as it commemorates the Sharpeville massacre which took place on 21 March 1960 in Sharpeville in the Vaal. After the community demonstrated against the pass laws, about 7,000 protesters went to the local police station where the South African Police opened fire on the crowd, killing 69 people and injuring 180.
 
The past, although dark and tragic, holds the power to propel a nation forward. Rector and Vice-Chancellor of the University of the Free State (UFS), Prof Francis Petersen, said: “In remembering this day, we have the opportunity to reflect on progress in the promotion and protection of human rights in South Africa.”
 
Prof Petersen expressed pride in the great strides made at the UFS in this regard and which are cause for celebration. “As a university community, let us join the rest of the country this month and celebrate the rights of all people to be protected from violation, irrespective of gender, race, sexual orientation, religion, etc. Let us observe this day and stand together to promote respect for human rights,” he said.

Policies with a purpose
UFS is guided by principles of non-discrimination and values which seek to uphold the rights of all humans as stipulated in the Constitution of the Republic of South Africa. Staff, students, and the general public enjoy the protection and dignity with policies such as Anti-Discrimination, Promotion of Equality and Social Justice Policy, the Sexual Harassment, Sexual Misconduct and Sexual Violence Policy, the Social Support Policy, as well as the Student Pregnancy Policy.

The objective of the Anti-Discrimination, Promotion of Equality, and Social Justice Policy is to clarify, deepen and promote an understanding of equality, social justice and unfair discrimination among the university community. In addition to other aims, it seeks to identify and promote an understanding of barriers to equality, as well as the various forms and practices of unfair discrimination that may occur. Preventing and eradicating such practices, identifying bullying practices within the various vertical and horizontal relationships at the university, is the policy’s ultimate mandate.

In a country plagued by gender-based violence and related crimes, the Sexual Harassment, Sexual Misconduct and Sexual Violence Policy becomes all the more significant. The policy’s purpose includes establishing a safe and enabling environment, free from sexual harassment, sexual misconduct and sexual violence, for all UFS community members. Support for victims and putting disciplinary procedures for perpetrators in place is a high priority within the policy. 

Human Rights are of utmost importance for a transforming institution such as ours. Hence, the Centre for Universal Access and Disability Support (CUADS) recently released the Social Support Policy Draft for public input. Its overarching goal is to establish an institutional climate and conditions that enable the UFS to retain its students and improve their chances of success by providing appropriate social support. 
 
As far as the Student Pregnancy Policy is concerned, creating conditions that are conducive for academic success and wellbeing during pregnancy is one of the ways in which the university upholds the human rights of mothers-to-be. The policy also ensures that pregnant students are not excluded from academic programmes, residences and other university activities.



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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