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Communication students get career guidance and a glimpse into Vision 130

17 May 2024 | Story Precious Shamase | Photo Sonia Small

UFS Humanities graduate, ready to make a mark in the world.

The Faculty of The Humanities at the University of the Free State (UFS), in line with the goals of Vision 130, hosted a dynamic career webinar on Thursday 9 May. This event, organised by the Department of Communication Science, offered invaluable guidance and inspiration to students pursuing Communication Science degrees as their future career path.

The webinar featured a lineup of successful alumni who shared their diverse career paths within the ever-evolving communication landscape. Students gained practical insights from these experienced professionals, fostering a clearer understanding of the vast opportunities available to them. A particular highlight of the event was a presentation by Dr Phumzile Mmope, whose powerful and motivational graduation speech continues to resonate with many. Dr Mmope, a renowned expert in leadership communication, generously volunteered her time to address the students. This act embodied the spirit of mentorship and community that Vision 130 seeks to cultivate.

Beyond offering career guidance, the webinar served as a powerful symbol of the UFS' dedication to excellence and societal impact, as outlined in Vision 130. By connecting current students with accomplished alumni and promoting a culture of volunteerism, the Faculty of The Humanities empowers graduates to become well-rounded professionals equipped to make a significant difference in the world and contribute meaningfully to society.

A glimpse into the future of communication

The webinar not only provided practical career advice, but also offered a glimpse into the future of communication. Alumni speakers discussed emerging trends and the evolving skillsets required for success in the field. Students gained a deeper understanding of how their communication degree can be leveraged in new and exciting ways, preparing them to thrive in this dynamic and ever-changing landscape.

A network of support

The webinar fostered a sense of community and support among communication students. By connecting them with successful alumni, the event showcased the diverse career possibilities that await graduates. Additionally, the opportunity to learn from experienced professionals provided valuable insights and inspiration, empowering students to navigate their career paths with confidence.

Vision 130: building a brighter future

This career webinar exemplifies the core principles of Vision 130. By prioritising student success, fostering mentorship, and promoting community engagement, the Faculty of The Humanities equips graduates with the knowledge, skills, and connections necessary to become impactful leaders in the field of communication.

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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