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23 February 2022 | Story Lacea Loader

On the morning of 23 February 2022, some of the entrance gates to the Bloemfontein Campus were blocked by groups of protesting students. The gates were cleared by members of Protection Services and traffic could continue to enter and exit the campus.

Sporadic disruption of classes occurred during the course of the day, with several students being arrested by the South African Police Service (SAPS) for disruption of classes, which is contravention of the interdict.

The disruptive behaviour stems from students’ unhappiness with the response to the memorandum handed to the university management by the Bloemfontein Campus Central Student Representative Council (CSRC) on 21 February 2022. Also on 21 February, a memorandum was handed to the management of the Qwaqwa Campus by the campus’ CSRC. The Qwaqwa Campus was temporarily closed yesterday, following violent protest action this week; the date for the reopening of the campus will be communicated in due course. 

Today’s disruptive behaviour demonstrated by the group of students on the Bloemfontein Campus is condemned and will not be tolerated.

During this week and on numerous occasions before that, the university management has been in extensive engagements with the CSRCs on both campuses; concessions were made where possible, as was demanded in the two memoranda. However, the responses given, and the concessions made by the university were not accepted by the student leadership of the Bloemfontein Campus CSCR in particular, with more demands being made.


Concessions from the beginning of 2022:

To ensure that students register successfully for the 2022 academic year, the UFS has granted a number of financial concessions to students since the beginning of the year. The financial support given was specifically intended to fast-track the registration process of students with outstanding debt, and those awaiting confirmation of funding from the National Student Financial Aid Scheme (NSFAS). 

These concessions included:

  • Allowing students who have previously registered for foundation programmes and those who have continued with mainstream programmes to register without the prerequisite of a first payment. The provision was granted to students who applied with the N+ rule and whose respective foundation programmes are included in the Department of Higher Education and Training-funded list.
  • Permitting students with outstanding debt of up to R25 000 and who await NSFAS funding to register provisionally.
  • The university also allowed conditional registration for first-time entering students, giving those who have applied for NSFAS funding until 28 February 2022 to finalise their registration. First-time entering students, both residential and non-residential, could register conditionally, provided that they pay an amount of R500.

Demands in the two memoranda received from the CSRCs on the Bloemfontein and Qwaqwa Campuses included matters such as private accommodation; emergency accommodation; catch-up plans for students who have not yet registered; a registration threshold increase to R30 000; NSFAS allowances; and the extension of registration for international students without study permits. The Bloemfontein Campus CSRC did not accept the university’s responses to the memorandum.

The university management will continue engaging with the SRC.

Safety measures in place:

The situation on the Bloemfontein Campus is closely monitored. Protection Services is on high alert and continues to work closely with the SAPS to ensure stability on the campus.

 

Issued by:
Lacea Loader
Director: Communication and Marketing
University of the Free State
loaderl@ufs.ac.za

23 February 2022

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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