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28 November 2023 | Story Michelle Nöthling | Photo Andile Andries Ndlovu
Nelisiwe Vilakazi and Abigail Webb
Nelisiwe Vilakazi (Head of Department for Social Development: KZN) and Abigail Webb during the ASASWEI International Conference and Awards 2023.

In a remarkable feat, Abigail ‘Zinhle’ Webb has clinched the prestigious Best Student Achievement Award from the Association of South African Social Work Education Institutions (ASASWEI), standing out among the nation's top-ranking students. This accolade, beyond acknowledging academic prowess, demands a notable contribution to the community – a criterion Abigail undeniably fulfils.

Elizabeth Msadu, Assistant Director of Student Counselling and Development and Abigail’s supervisor during her final year in Social Work at the University of the Free State (UFS) commends Abigail for  “her passion, integrity, high standards, and perhaps most of all, how selflessly she strives to improve the lives of the students around her.” 

Community engagement: breaking taboos

Abigail's success is not confined to academic excellence; her proactive approach to community issues is equally commendable. Observing the free condom container in her residence bathroom one day, she questioned the absence of support for female students regarding sanitary products. She found that “there is still immense shame around vaginal health.” This led to the initiation of workshops and the #comebleedwithusperiod social media challenge, normalising discussions around women’s menstrual health.

During her tenure on Akasia’s Residence Committee and as Prime this year, Abigail identified a reluctance among female students to assume leadership roles. Questioning this disparity, she launched a project aimed at addressing female apprehension surrounding leadership and failure. Through this initiative, Abigail empowered female students to embrace leadership positions and overcome societal expectations. 

Future plans: a commitment to growth

While Abigail is drawn to child and family services, and adoption work, she plans to gain practical experience before pursuing a Master’s degree. Inspired by the researchers she encountered at the ASASWEI conference and award ceremony, she expresses her newfound interest in research, envisioning a future where she actively contributes to the field.

Time well spent: reflecting on four years

Reflecting on her proudest achievements she said, “I think I’m most proud that I spent my time well. I lived to my fullest during my four years of study.” Recognising the crucial role of belonging in student success, she emphasises the significance of forming connections. From a shy, first-year student with a stutter, Abigail evolved into a dynamic force, dedicated to connecting and serving the community. 

As Abigail approaches the end of her studies, she acknowledges the uncertainty of the next step but asserts with confidence, “It’s going to be okay. I’m going to be okay.”

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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