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UFS wins big at 2019 IABC and MACE awards ceremonies

12 December 2019 | Story Amanda Tongha | Photo MACE

MACE read more — Staff members from the Department of Communication and Marketing celebrating their MACE Excellence Awards.

The Department of Communication and Marketing again received national and international recognition for its communication and awareness campaigns this year.

On 28 November 2019, the department made a big splash at the national Marketing, Advancement, and Communication in Education (MACE) 2019 Excellence Awards, winning multiple awards for its work in communication and marketing. Scooping up five awards, the department earned accolades for the communication campaign on the MT Steyn statue review process, the Kovsie App, and awareness campaigns for gender-based violence and the Kovsies Multilingual Mokete.

This comes on top of the two awards the department won at the International Association of Business Communicators (IABC) Africa Silver Quill Awards during an awards ceremony presented in Centurion, Gauteng, on 16 October 2019. During this event, the department was also acknowledged with an Excellence Award for the Kovsie App communication campaign and a Merit Award for the communication campaign on the MT Steyn statue review process.

Celebrating the best in marketing, advancement, and communication

Hosted annually, the MACE Excellence Awards recognise and celebrate the excellence of specialists and practitioners in marketing, advancement, and communication in the higher-education sector. MACE plays a vital role in adding value to practitioners through high-quality development programmes, facilitating networking partnerships and transformation, as well as promoting best practices among these professions at member institutions.

At the 2018 MACE Excellence Awards, the Department of Communication and Marketing received the prestigious Severus Cerff Award, presented to a higher-education institution that consistently excels in the fields of marketing and communication. The department also brought back six other awards, including three gold awards, which are awarded to the highest-scoring entries in the 30 categories evaluated. These ranged from brand-building campaigns to print publications; website to social media, assessed by marketing and communication professionals in the higher-education and private sectors.

Continuing its winning streak at the 2019 MACE Excellence Awards held in Port Elizabeth from 27 to 28 November 2019, the Department of Communication and Marketing was singled out for keeping stakeholders informed on the MT Steyn statue review process. For this, the department received the prestigious Business Issue Special Award, presented to an entry that successfully addressed a critical business issue.

Student Recruitment content

Staff members from the Department of Student Recruitment Services celebrating their MACE Excellence Awards

Being recognised nationally and internationally

Adding to the UFS tally, the Department of Student Recruitment Services was also recognised at the 2019 MACE Excellence Awards for its communication campaigns to market the university. The department won three awards, one gold (for the School Anthem – Petunia Secondary School campaign) and two bronze awards for the Light the fire – Grade 9 school subject choice intervention and Re-engineering of the UFS Undergraduate Prospectus 2020 campaigns, bringing the number of UFS MACE Excellence Awards for this year to eight.

Lacea Loader, Director: Communication and Marketing, who accepted the Business Issue Special Award on behalf of the University of the Free State (UFS), says the recognition affirms the role the department plays in building and promoting the UFS brand.

“I am immensely proud of the national and international recognition the Department of Communication and Marketing received for its work this year. Being recognised by our peers for quality and innovative work is most rewarding and it demonstrates the dedication and commitment of a highly innovative and creative team.”

The awards won by the Department of Communication and Marketing included three gold awards for the communication campaign on the MT Steyn statue review process, Gender-based violence Awareness Campaign, and Kovsies Multilingual Mokete Communication Campaign; a silver award for the KovsieApp Communication Campaign; and the Business Issue Special Award for the Communication Campaign on the MT Steyn statue review process.

- A record number of 202 entries from 15 institutions were evaluated in the 2019 MACE Excellence Awards.

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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