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14 October 2022 | Story Dr Cinde Greyling | Photo Iflair Photography
UFS Business school
The UFS Business School.

The University of the Free State Business School (UFSBS) was established in the late 1990s and is fully accredited by the Council on Higher Education (CHE) and the Central and East European Management  Development Association (CEEMAN). Since its inception, the school has operated as a boutique business school focusing on personal attention to adult learners.

Late 2021, the UFSBS appointed a new Director, Dr Udesh Pillay. In conjunction with the change in leadership, the UFSBS is embarking on a new strategic journey, while maintaining the focus on its core business – in other words, its official academic offerings. The strategic journey of the UFSBS has been underway for the past year, and significant time has been allocated to the recurriculation of programme offerings; decolonisation of the academic agenda; and orientating the UFSBS so that it makes a larger practical contribution to the SME sector locally and nationally, especially in relation to business continuity and resilience in the wake of unforeseen externalities.  These developments will ensure that the UFSBS remains a premier academic institution and contributes to the success of South Africa and its people. It also ensures that the twin principles of academic excellence and social justice become mutually reinforcing.

The UFSBS’s strategic direction for the next five years aligns neatly with the Vision 130. By 2034 – when the university commemorates its 130th anniversary – the UFS wants to be recognised and acknowledged by peers and society as a top-tier university in South Africa. Similarly, the UFSBS has aspirations to become a top-ten business school in SA over the next five years.

Given the history of South Africa, it is of utmost importance to empower people to add value, particularly in the field of business and management leadership. The UFSBS will contribute to building an ecosystem of entrepreneurialism, with the more traditional academic programmes based upon the conventional practices of teaching and learning, research, and mentorship to be supplemented by ‘opportunity-driven initiatives’, such as executive education, consulting support, coaching, incubation services, and the commercialisation of intellectual property.

Globally, the Fourth Industrial Revolution (4IR) has catalysed processes of digital transformation in business, to which the UFSBS will align to ensure that students are equipped with the relevant knowledge and skills in a fast-changing, technology-enabled world. With the support of the Centre for Business Dynamics (CBD) housed in the UFSBS; the establishment of the Small Business Academy (SBA) in early 2024 in the UFSBS; the soon-to-be-established High-Growth Business Incubator (in collaboration with the NAS faculty); and with the process of strengthening relationships with the Paradys Experimental Farm gaining traction, a differentiated medium has been created to nurture responsible,  ethical, and socially conscious business leaders. The foundation then – to create the next generation of business leaders and entrepreneurs to become agents of change and value co-creators for business and society – will thus have begun.

The UFSBS will align to ensure that students are equipped with relevant knowledge and skills in a fast-changing, technology-enabled world. – Dr Udesh Pillay.
The slogan, ‘BE WORTH MORE’, embodies what the UFSBS strives for, and is consistent with new developments in global discourses, which are rethinking and transforming many of the traditional dogmas that have informed the mandates of business schools. 

As a critical bridge between academia and business, the UFSBS is uniquely poised to reimagine a better and intelligent future that is data-informed, collaborative, innovative, and inclusive.

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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