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23 September 2020
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Story Nitha Ramnath
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Photo Supplied
UFS students will be performing at the virtual ICDF on 24 September 2020.
On 24 September 2020, South Africa will be celebrating Heritage Day. For the 25th anniversary of this celebration, South Africans are encouraged to celebrate their culture and the diversity of their beliefs and traditions in the wider context of a country that belongs to all its people. Dr Chitja Twala, Vice-Dean: Faculty of the Humanities at the UFS, says: “The importance of the day is that we must celebrate who we are and learn from each other.” The University of the Free
State (UFS) has a long tradition of commemorating Heritage Day and the ideas underpinning it. One way in which the UFS celebrates and recognises the tapestry of diverse cultures represented on its campuses is through its International Cultural Diversity
Festival hosted by the Office for International Affairs. The purpose of the event is to highlight on Heritage Day that international cultural diversity is a central tenet of the UFS community.
Pursuant to the tremendous challenges caused by the COVID-19 pandemic globally, the International Cultural Diversity Festival will this year be celebrated in a virtual format. Even during this uncertain time, it is important to find time to celebrate
our uniqueness and to appreciate one another’s heritage and culture in the spirit of our humanity.
Date: 24 September 2020
Time: 10:00
No registration is required!
For the 2020 Heritage Month celebrations, let us share elements about ourselves that make us proud of who we are! The diverse contributions to the 2020 virtual International Cultural Diversity Festival activities will highlight the university’s commitment towards creating a diverse, challenging intellectual environment. As a research-led university, the UFS strives to provide an environment in which new ideas are incubated and debated, contributing to its transformation process and African unity.
For more information contact Bulelwa Moikwatlhai on MaloB@ufs.ac.za
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.