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20 January 2022 | Story Ruan Bruwer | Photo Supplied
Keenan Carelse.

University of the Free State (UFS) Alumni may be based all around the world, but the United Kingdom (UK) Alumni Chapter aims to reconnect with all those members.

The UK Chapter is a hub of a developing UFS international programme. “We want to provide an opportunity for alumni to share their university experiences with wider audiences,” explains Carmenita Redcliffe Paul, Assistant Director: Alumni Relations and Business Development at the UFS.

Platform to celebrate successes

“The programme aims to provide a platform to alumni to celebrate their successes and provide a window to the landscape of the life and times of the university and the people who shaped it.”

“We also want to celebrate the diversity of our former students and the many touchpoints which unite them.”

Two key projects, Global Citizen and Voices from the Free State, came to life as a result of the collective collaboration of this chapter. The Global Citizen invites people in a series of “courageous conversations” to rethink their relationship with the world. Voices from the Free State is a series of personal podcast narratives by outstanding alumni wherein they reflect their experiences at the UFS. They tell their stories and explain how their university years shaped their future and paved the way to their respective successes.

Relevant association with the UFS

“Furthermore, they motivate why their ongoing association with the UFS is still relevant and important,” says Redcliffe Paul.

The UK Alumni Chapter is led by alumni Francois van Schalkwyk and Keenan Carelse and supported by Adrienne Hall.

Redcliffe Paul says Carelse and Van Schalkwyk have been instrumental in the Voices from the Free State initiative as they are strategically and operationally invested. They create and co-host the podcast series.

Van Schalkwyk is an entrepreneur and innovator consulting with clients globally. Carelse is employed in the healthcare sector in the UK.

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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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