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RAG has a new
name and format:
ACT—
Active, Civic, Teaching.
The University of the Free State (UFS) is ready to kick off the new year with a bang. Get ready to celebrate the start of university with a cause. RAG, as you know it, has a new name and format: ACT—Active, Civic, Teaching.
You get further if you pull in the same direction, rather than various good-intentioned movements on different routes. In a collective effort, four exciting programmes will take flight, which are listed below:
- Schools project for first-year students: mentored by senior students, groups of first-year students will be assigned to, and participate in local school projects. Students will learn to solve problems and work together in small groups as they collaborate on a specific community project involving primary or secondary schools in the Mangaung region.
- Community gardens: This project will help individual student communities to begin and maintain their own vegetable gardens in order to address food insecurity within their own environment.
- Eco-vehicle project for senior students: The aim of the eco-vehicle project is to create an interdisciplinary experience. Undergraduate senior students from a Student Life College (SLC) can work together to build an eco-vehicle from waste material. The track day, along with creative pit stops, will take place on 16 February 2018, preceding the Community celebration of 17 February 2018.
- Community celebration: To foster good relationships between the UFS and the community, we aim to host an annual celebration that will be open to the broader Mangaung community. The celebrations will kick off on the morning of 17 February 2018 with a business relay and a showcase of the eco-vehicles. The festive day will conclude with an evening music concert.
Keep checking the UFS website for updates about more ACT activities during the month of February.
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.