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11 September 2024
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Story Anthony Mthembu
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Photo Anthony Mthembu and Chelsea Carolus
From the left: Geraldine Lengau, Senior Officer in the Unit for Institutional Change at the UFS; and Oratile Reina, West College Prime.
As part of the initiatives lined up for College Week, the student leaders of West College at the University of the Free State (UFS) hosted a dialogue that primarily focused on discussing social justice as a value of Vision 130. The dialogue was held at Outeniqua Residence on 3 September 2024 and was well attended by students within West College.
According to Oratile Reina, West College Prime, “the motivation for the dialogue was to prepare newly elected leaders and our college community to align their efforts with Vision 130 – a vision that aims to create a more inclusive, equitable, and socially just environment on campus”. As such, she highlights that the dialogue was an opportunity for leaders to discuss practical strategies for implementing these values in their respective spaces, and to encourage those in West College to become better citizens inside and outside the university.
A conversation on social justice
The dialogue was facilitated by Geraldine Lengau, Senior Officer in the Unit for Institutional Change and Social Justice at the UFS. Lengau touched on several aspects pertaining to the topic of discussion. Firstly, she allowed the audience to give their definition of social justice, especially as students within the institution. In addition, she went on to talk to the audience about sexual assault in the context of social justice. In this instance, Lengau gauged whether the students knew which processes to follow in the event of a sexual assault incident, and whether they were acquainted with the UFS Sexual Harassment, Sexual Misconduct, and Sexual Violence Policy. Furthermore, the audience was given the opportunity to outline what social justice looks like to them in the spaces they occupy, including in their respective faculties, the sports they play, and the leadership structures they form part of. “I was encouraged to see that students take their right to a socially just university in very high regard, and that they were willing to break it down from what Vision 130 proposes, in order to align it with their common understanding,” said Lengau.
As the dialogue concluded, the audience signed a pledge committing to uphold the values of Vision 130. According to Reina, “The pledge represents a promise to take concrete steps towards fostering an inclusive and equitable campus culture. By signing the pledge, the leaders are not only agreeing to embody these principles in their leadership roles but are also holding themselves accountable to their peers and the broader university community.”
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
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.