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03 December 2021 | Story Lunga Luthuli | Photo Supplied
Geraldine Lengau, Senior Officer in the UFS Gender Equality and Anti-Discrimination Office within the Unit for Institutional Change and Social Justice, calls on men to take the lead in ending gender-based violence.

Gender-based violence is a phenomenon deeply rooted in gender inequality and the scourge continues to be one of the most notable human rights violations, with many communities – especially women and children – suffering the most from the atrocious acts. 

South Africa remains the country with the highest number of violent acts, especially against women, and Statistics South Africa reports that one in five partnered women has experienced physical violence. 

Gender-based violence can take many forms, including 

• sexual harassment; 
• rape and/or sexual violence;
• stalking (deliberately and repeatedly following, watching, and/or harassing another person);
• physical, emotional, and economic abuse; and
• child abuse.

Geraldine Lengau, Senior Officer in the Gender Equality and Anti-Discrimination Office within the Unit for Institutional Change and Social Justice, says: “Individuals must be vigilant of toxic environments where emotional and physical abuse are rampant.”

 “Even in the workplace, individuals can experience gender-based violence and it can play itself out in the form of power dynamics, prejudice, and discrimination.”

To help end gender-based violence at work, Lengau says, “Institutions have a duty to implement policies and procedures to increase awareness and sensitisation about this pandemic.”

Societal norms often contribute to victims deciding not to report these criminal acts for fear of being judged, with many women still being considered guilty of attracting violence against themselves through their behaviour.

“It is important for communities to provide support to victims and for organisations to have a zero gender-based violence tolerance policy. Victims must report any act, and in extreme cases, they must not be shy to get a protection order,” Lengau says. 

With the 16 Days of Activism for No Violence against Women and Children Campaign in full swing, Lengau says, “It is a great international initiative to tackle and raise awareness around issues of gender-based violence; however, it is not enough. It should go beyond the 16 days.”

 “To rid society of gender-based violence, our communities – men and women – should work together to root it out. Men should take the lead in tackling issues and bringing about solutions. Women should never get tired of speaking out; there is help for them.”

“Gender-based violence is a societal ill and women need to know that they should not bear the shame,” she says.

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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