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Embark on your academic journey: UFS 2024 registration guide

14 December 2023 | Story Valentino Ndaba | Photo Supplied

The University of the Free State (UFS) warmly welcomes its future, present, and returning students to an exciting academic year, where opportunities for growth, learning, and community abound. As a proud member of the vibrant UFS family, get ready to dive into a world of knowledge and experiences that will shape your future. The UFS strongly urges all incoming first-year and senior students to frequent the registration website for a complete and detailed overview of essential information.

Important dates to remember

All new first-year students, mark your calendars for essential dates:

Curriculum advice and registration: 5-9 February 2024
Classes commence: 12 February 2024
Last date to add/change modules: 16 February 2024
Deadline to cancel modules with full credit: 31 March 2024

Senior students, your academic year begins with guidance from your faculties – starting from 22 January 2024, leading to these crucial dates:

Registration: 29 January-12 February 2024
Classes commence: 12 February 2024
Last date to add/change modules: 16 February 2024
Last date to cancel modules with full credit: 31 March 2024

Postgraduate students, your journey towards enrolment and progression includes:

Registration for new research master’s and doctoral students takes place throughout the year.
For returning master’s and doctoral students:
First semester: 29 January-12 February 2024
Second semester: 8-19 July 2024

Resources at your fingertips

Navigate your registration journey smoothly with these resources:

Registration Guide: 8 steps to take: https://ufsweb.co/3sZOOet
Online Registration Guide – User Manual: https://ufsweb.co/489Qf8O
Registration Guide – First-Year Students: https://ufsweb.co/4aeLQDF
Registration Guide – Senior Students: https://ufsweb.co/46RMWSC
Registration Guide – Postgraduate Students: https://ufsweb.co/3TnjeSm
Registration Activity Guide – User Manual: https://ufsweb.co/47Tvv5O
Service Request Management – User Manual: https://ufsweb.co/3t5cIFp

How to seek assistance

Should you require guidance or have enquiries regarding the registration process, multiple avenues are at your disposal:

Institutional Contact Centre: Call +27 51 401 9111 or WhatsApp +27 87 240 6370

Email Support: Reach out to studentadmin@ufs.ac.za

Faculty support tailored for you

Each faculty offers specialised support designed to cater to your needs:

Faculty of Economic and Management Sciences: https://www.ufs.ac.za/econ
Faculty of Education: https://www.ufs.ac.za/edu
Faculty of Health Sciences: https://www.ufs.ac.za/health
Faculty of The Humanities: https://www.ufs.ac.za/humanities
Faculty of Law: https://www.ufs.ac.za/law
Faculty of Natural and Agricultural Sciences: https://www.ufs.ac.za/natagri
Faculty of Theology and Religion: https://www.ufs.ac.za/theology

Prepare to embark on an incredible academic expedition at the University of the Free State! As part of the UFS family, immerse yourself in a diverse, vibrant, and enriching community. Welcome aboard and get ready to thrive!

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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