Latest News Archive

Please select Category, Year, and then Month to display items

Breaking barriers: Honouring diversity in academic achievements at UFS

17 May 2024 | Story Edzani Nephalela | Photo Charl Devenish

During the Faculty of Education ceremony, Louzanne Coetzee, a blind UFS alumna and speaker, shared her remarkable journey. From her days as a high school learner to becoming a student, she highlighted her challenges and how she overcame them.

The April graduations at the University of the Free State (UFS) were a remarkable celebration of diversity and inclusivity, with 44 graduates with learning difficulties, visual, mobility, or hearing impairments honoured for their achievements.

Despite facing unique challenges throughout their academic journeys, these resilient students triumphed over adversity to earn their degrees, inspiring their peers and educators alike – all with the assistance of the Centre for Universal Access and Disability Support (CUADS) within the Division of Student Affairs.

Words of advice from the recent graduates

Nkosingiphile Nyanale, who is blind, recently graduated with a Bachelor of Laws (LLB) degree. He emphasised the importance of mutual understanding between students and educators as a way of helping students with disabilities to overcome the extra hurdles they face. “One of the most challenging parts of my journey was reaching a common understanding with some facilitators on how I could be reasonably accommodated in class,” Nyanale said. “Some lecturers would deny themselves the opportunity to understand the challenges of students with visual impairments and viewed my requests as a way of seeking an easy pass. So, peers and lecturers understanding various impairments helped shape my journey.

”Sthembiso Dlamini, a BSc Mathematics and Mathematical Statistics graduate who lives with dysgraphia, a condition that creates challenges related to handwriting, spelling, and organising thoughts on paper, said, “In my third year, I struggled to focus during high-stress exams. I willingly sacrificed much of my leisure time to tackle this obstacle head-on. I committed myself to honing my learning methods and enhancing my time-management abilities.”

Relebohile Moloi, a nursing graduate, thanked CUADS for its help, and said greater awareness of the centre and its services could help more students. “They should assess students regularly for impairments, because sometimes people don’t know they have an impairment. CUADS should visit each faculty to give information on who they are and what they offer.”

The speaker

Louzanne Coetzee, a blind UFS alumna, shared her story during the last graduation session of the season on 20 April. “After matriculating at the Pioneer School in Worcester [Western Cape], where it was a protected environment, I did not know what to expect from the UFS. However, the UFS gave me a conducive environment by allowing my guide dog, Isabel, into the residences. I was the first person to be allowed such.” [Listen to her full speech here.]

Inclusive environment

Martie Miranda, Deputy Director at CUADS, said she’s proud of the graduates, as they embody the UFS’s dedication to an inclusive environment that caters to all its students, in line with the university’s Vision 130, which aims to foster academic excellence in a diverse and equitable environment. “In celebrating our graduates, we honour not just their achievements but the enduring commitment of CUADS staff and the university to foster an inclusive environment where every student's journey is valued and supported."

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.

Back

Economic and Management Sciences

Education

Health Sciences

The Humanities

Law

Natural and Agricultural Sciences

Theology and Religion

Open Distance Learning

Business School

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept