Latest News Archive
Please select Category, Year, and then Month to display items
02 July 2019
|
Story Eloise Calitz
|
Photo Keagan Nkwaira
Audience members listening attentively to the presentations at the Entrepreneurship Inter-varsity on the Bloemfontein Campus.
The UFS continuously creates opportunities for students to develop and explore platforms where they can showcase their talents and share their innovative concepts. In the light of this, it is important for the institution to become a preferred academic knowledge partner that can conceptualise, develop, and successfully commercialise research activities, and through this foster an innovative and entrepreneurial culture that aligns to its Integrated Transformation Plan.
This is why opportunities such as the Entrepreneurship Intervarsity Competition are so important, since it encourages students to demonstrate their entrepreneurial talent, and through this connect with investors and industry leaders to start up a business.
The competition
Student entrepreneurs across the 26 public universities in South Africa were invited to submit their innovative ideas as part of a competition supported by Entrepreneurship Development in Higher Education (EDHE), in collaboration with the Allan Gray Orbis Foundation. The opportunities created through this initiative are twofold:
1. For student entrepreneurs to present their innovative ideas and businesses.
2. For universities to demonstrate their entrepreneurial talent and the ways in which they support and grow the next generation of business leaders.
The competition takes place in five stages. The process started with each student submitting their short videos and applications on the official competition site. Each institution also had the opportunity to select student entrepreneurs to take part in the competition. Fifteen students pitched their ideas during internal rounds at the UFS on 30 May 2019. Of these students, four were selected to represent the UFS at the regional rounds of the Entrepreneurship Intervarsity, where the finalists will be chosen.
The students were judged in four categories:
• Category 1: Innovative Ideas
• Category 2: Tech Businesses (existing businesses, formal or informal, undergrad or postgrad)
• Category 3: Social Impact Businesses (existing businesses, formal or informal, undergrad or postgrad)
• Category 4: General (existing businesses, formal or informal, undergrad or postgrad)
The following UFS entrants were selected to take part in the regional finals:
• Christopher Rothman for his liquid yeast culture that can be used in the fermentation of beer.
• Driaan-Lou Kemp for his patented water-saving device.
• Grace Mthembu for her electricity-saving system.
• Martin Clarke for his idea to use drone technology for the mining industry
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.