Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
19 July 2019 | Story Valentino Ndaba | Photo Charl Devenish
MEC for Education, Dr Tate Makgoe, presents an award to Khesa Maphakiso from Beacon High School at the ceremony.
MEC for Education, Dr Tate Makgoe, presents an award to Khesa Maphakiso from Beacon High School at the ceremony.

Projections indicate that by 2020 about 80% of all jobs will require some level of competency in Science, Technology, Engineering and Mathematics (STEM). Also, given the rising unemployment rate and the subsequent demand for entrepreneurial skills in the past few years, STEM education has become a priority for South Africa.

A step in the right direction

Equipping young people to be efficient in the world of work and business is a major driver behind the country’s education system. The MEC for Education in the Free State reiterated the importance of STEM subjects. Dr Tate Makgoe addressed about 200 top-performing Grade 12 learners from quintile 1-3 schools in the province who were attending the South African Institute for Chartered Accountants (SAICA) maths camp.

Making mathematics fashionable

The week-long camp recently closed with an awards ceremony which was held on the Bloemfontein Campus of the University of the Free State (UFS). Nine of the creams of the crop of matric learners were honoured for their achievements in mathematics, physical science, and accounting.

Zinhle Gumbi, from Morena Mokopela Secondary School, one of the three Mathematics Top Achiever award recipients has become more determined to choose a maths-related profession. “I have told myself that any career I follow must include maths. Dr Tate Makgoe said we must prove to people that the black child can do it.”

Emerging as one of the Accounting Top Achievers was Albert Ramatsekane from Tsoseletso Secondary School who intends to pursue a Chartered Accountant (CA) qualification. “The camp has boosted my confidence. Now I can choose the CA stream without thinking twice.” 

Sowing the seed and reaping the fruits

Accounting lecturer Mojalefa Mosala was satisfied with the results of the camp. “I am happy to see many familiar faces in my classes who have attended previous camps. It means we’re doing something right.”

Mosala, a former assistant camp organiser, has confidence in the project as it “affords a rare opportunity to learners who have not been exposed to information, the higher learning environment, study skills and motivational figures to experience all of these”. 
Kovsies prides itself in partnering with industry stakeholders to build the future of the country, one maths camp at a time.



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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept