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31 May 2019 | Story Eugene Seegers | Photo Barend Nagel
KovsieApp Landing Page
The new KovsieApp’s landing page.

The new KovsieApp will be available from 31 May 2019. This mobile app will be compatible with both iPhone and Android devices and will enable users to access information from the UFS website on their mobile phones at no cost while connected to the on-campus Wi-Fi network.

The first roll-out of the KovsieApp will be primarily aimed at students, who will be able to access their personal information, such as study records, marks, class and exam timetables, mini fee statement, etc. However, for security reasons and privacy requirements, the student will have to register on the app before such information is made available. Later iterations will have additional functionality for staff, for whom space has already been allocated in the app.

Positive Response

During the beta testing phase, a number of students were included in the focus group. Their feedback highlights the value of the app for Kovsie students.

“The app is very smooth and easy to use. Compared to other apps, it has so much more useful information that a student needs, such as checking Gradebook or your financial statement wherever you are. One of the key aspects is that it is data-friendly, even when on mobile data,” said Omar-Raphael Tabengwa, SRC: International Student Council, in his response.

Katleho Lechoo, SRC for Sport on the Bloemfontein Campus, said: “This app is something the students have been looking for, and it brings the university to your pocket. It is convenient to use, especially for those who have to access their academics while travelling for sport. We can’t wait for it to hit the ground running very fast.”

Nomathemba Pakade, Deputy President of the South Campus SRC, had this to say: “For me, this app means convenience and it is going to save me a lot of time, because I can access almost everything on my phone. We couldn't have asked for anything better at this moment.”

Lastly, Mvuyo Madlala, SRC Secretary for the South Campus, said, “The KovsieApp is very efficient and includes all the essential information that a student might require.”

Data accuracy a must

Since students will log in with an OTP sent to the cellphone number linked to their profile, the accuracy of a student’s data will be critical to the correct functioning of the KovsieApp, especially when it comes to personalised information such as timetables and marks. Therefore, students are encouraged to update their contact details and other information, using the Student Self-service page on KovsieLife. Alternatively, you can visit Student Academic Services for assistance (remember to take along your ID or passport as identification). Any errors in a student’s data can cause the KovsieApp to function unpredictably, with the result that the person will be restricted to a public view with limited access to basic personal information.

The future is here!

Get ready to experience the next generation of information access: Download your KovsieApp today!

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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