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An update on learning and teaching at the UFS

24 March 2020

Dear Student,

We know that many of you might be feeling anxious and uncertain about how the University of the Free State (UFS) is going to take learning and teaching forward during these extraordinary times. On Monday, 16 March 2020, the Rector and Vice-Chancellor, Prof Francis Petersen tasked the Teaching and Learning Management Group (TLMG) to develop alternative ways of taking learning and teaching forward. The TLMG, under the leadership of the Centre for Teaching and Learning (CTL), has been hard at work at developing a new approach.

Like most other universities, our best alternative to continue our learning and teaching is to move online. We are aware that moving online poses many challenges for our students since many of you do not have frequent and reliable access to the internet, or data when you are off-campus, or do not own the necessary devices to learn optimally. We are also aware that learning in a new way will mean that students and staff will need to create spaces for themselves to learn and work at home/off-campus. It does appear that we will be working online for an extended period of time, and we want to assure you that we will be here to support you in this journey as best we can.

The Keep calm, Teach On, and #UFSLearnOn campaigns are aimed at creating the best possible support for lecturers and students, respectively,
by adapting existing support and practices most suited to our new online environment. The new approach has the following components:

Providing and developing support for lecturers to move learning and teaching online.
Creating appropriate communication and support measures to help you learn as effectively as possible. The first of these is the Keep calm and #UFSLearnOn transition resource which will be shared with you through various platforms.
Repositioning existing support systems to create a learning and teaching environment that considers the diverse needs and circumstances of our students.

As a start, here are the Keep calm and #UFSLearnOn dates on which resources will be released:

25 March: This first edition will focus on helping you assess your current realities, and kick-start the planning for learning to continue.
1 April: Release of Edition 2; this edition will be focused on getting connected and understanding how you will be learning when academic activities resume.
8 April: Edition 3 to be released; the third edition will focus on the skills you need to be a successful student in the new environment.
15 April: Edition 4 to be released; this edition will focus on helping you to stay and finish strong. This edition will also provide you with the university’s reassessment of the situation, which will be determined by the country's presidential lockdown situation.

17 April: Academic activities will resume

We are very aware that for many of you access to devices, data, and networks is a challenge. As part of Universities South Africa (USAf), the UFS is negotiating to get our digital learning website zero-rated to minimise your costs. You will be receiving a survey link to provide us with information on the additional support you might need to connect and learn.

We know our students are resourceful and resilient to succeed in extraordinary circumstances. In the meantime, take some time to rest and recharge.

Best wishes,

Dr EL van Staden
Vice-Rector: Academic
University of the Free State

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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