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09 May 2020

Dear Students

UPDATE ON DEVELOPMENTS AT THE UFS

I hope you are well, healthy, and safe. I also hope that you are engaging with your friends and lecturers regularly, and that you have settled into the online learning environment. As with communities around the world – including higher education institutions – Kovsies also feel the impact of the exceptional circumstances resulting from the global COVID-19 outbreak. So much has changed, and our lives are directly and indirectly affected. It is a true test of our resilience and ability to adapt to a changing environment.

I know that it has not always been easy for you – none of us were prepared for a global pandemic of this magnitude. But I also see this as an opportunity for us to develop our learning and teaching model and to find ways of further enhancing the university’s processes and systems.

The suspension of the academic programme and the national lockdown had a huge effect on our staff and students. We had to act fast to ensure the continuation of the 2020 academic programme. Our first priority was to develop low-tech online and distance approaches to learning and teaching. Consequently, we developed support for academic staff and students to navigate the new online learning environment. We also revised our academic calendar and rolled out a carefully planned emergency remote teaching and learning methodology.

It is encouraging to know that you began with online learning this week. Early indications are that the Transition and Orientation from 20 to 30 April 2020 worked well in preparing you for the online learning that started on 4 May 2020. It is also good to know that the #UFSLearnOn material helped you to get ready for the start of online academic activities. Be assured that your lecturers are working hard to deliver a quality teaching and learning experience in the current circumstances. Just as this is a new experience for you, it is also a new learning experience for your lecturers. You may still experience some challenges with your academics as we complete the first week of online learning. Please contact your lecturers and/or faculties so that we can find solutions for you. You can also visit the Digital Life Portal (under the Student Toolbox) on the KovsieLife website.

You have been away from your lecturers, friends, familiar surroundings, and campus facilities for a long time, and I know that you miss it. Unfortunately, the university is bound by Level 4 restrictions and it is not possible to allow any students back on our campuses until so directed by the national government. Only final-year MB ChB students are allowed to return to campus next week – as per the directive from the national government. The majority of staff are also working from home until otherwise indicated, and in accordance with national directives for the further easing of lockdown restrictions.

This is not a university decision but is prescribed in terms of national regulations. Be assured that the university has taken adequate measures to ensure the safety of all facilities, assets, and private belongings on the campuses. We will let you know as soon as we receive a directive that students may be allowed on campus – this will be done in a phased approach in order to contain the spread of COVID-19.

Your safety, health, and well-being remain our first priority. Look after yourself and your mental health – make use of the #WellnessWarriors campaign of our Department of Student Counselling and Development that is aimed at encouraging health and well-being among students.

Please remember to regularly check the official communication platforms to stay up to date with developments at the university. Avoid fake news, verify information, and only consult the official communication platforms. 

Obeying the lockdown restrictions is an act of kindness to yourself and to others; #StayAtHome and practise social distancing.

I wish you all the best with your studies and hope to see you on our campuses soon.


Best regards

Prof Francis Petersen
Rector and Vice-Chancellor


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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