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19 September 2024 | Story Anthony Mthembu | Photo Anthony Mthembu
GEADO donates sanitary towels to community development initiative 2024
From left to right: Morwesi Malebo, Founder of ‘Give a Flower for a Change’, and Geraldine Lengau, Senior Officer in the Unit for Institutional Change and Social Justice at UFS.

As part of its ongoing Dignity Kit Awareness Campaign, launched in 2023, the Gender Equality and Anti-Discrimination Office (GEADO) at the University of the Free State (UFS) recently contributed to a community development initiative titled ‘Give a Flower for a Change.’ A batch of sanitary towels was recently officially handed over at the UFS Bloemfontein Campus, facilitated by Geraldine Lengau, Senior Officer in the Unit for Institutional Change and Social Justice.

According to Lengau, GEADO has made several similar donations on campus, benefitting initiatives such as the ‘No Student Hungry’ (NSH) programme, staff members through the Office of Organisational Development and Employee Wellness, as well as student walk-ins, among others. This latest donation extends the reach of the Dignity Kit Campaign beyond the campus community. ‘’This forms part of our mandate to raise awareness, particularly in uplifting the dignity of women. It is essential for the university to provide these dignity kits, as it demonstrates its commitment to addressing gender-based violence, supporting survivors, and promoting awareness,’’ said Lengau. She further emphasised that such donations foster a broader effort by the university to create a culture of respect, empathy, and support for surrounding communities, thus advancing social justice as articulated in the UFS’s Vision 130 strategic plan. 

Supporting Give a flower for a Change

The sanitary towels were handed over to Morwesi Malebo, founder of ‘Give a Flower for a Change’. According to Malebo, the initiative works closely with Unity Primary School in Bloemfontein, aiming to uplift the lives of children, particularly those from previously disadvantaged households. ‘’I have heard of instances at the school where some learners resorted to using cloth during their periods because they lacked access to sanitary towels,” Malebo shared. The donation will now help provide the necessary supplies to these children.

The initiative relies heavily on donations, accepting sanitary towels, school shoes, toiletries, and other essential items. Malebo stressed the significant impact of these contributions, noting that the learners are ‘’incredibly grateful, and the positive change in their lives is visible.” Without such resources, learners often feel self-conscious, which affects their performance at school. Collaborations with partners like GEADO, Malebo added, are crucial to the development of communities like hers. Consequently, she hopes to expand the initiative to high schools across Bloemfontein and maintain a strong partnership with GEADO.

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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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