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Shimlas aim to entertain in home semi-final

14 April 2022 | Story Jóhann Thormählen

It was their aim to entertain, and now the University of the Free State (UFS) Shimlas want to continue in the same vein in front of their home fans in the Varsity Cup semi-final that will be played on Shimla Park on the Bloemfontein Campus on Monday 18 April 2022 at 19:00.

According to Thabang Mahlasi, the Shimla captain, his side is excited to have a home advantage against the University of Pretoria (UP) Tuks and would like to reward their supporters by scoring more tries.

The Shimlas also got their faithful involved this week by launching an ‘Every Fellow’ campaign on social media to encourage supporters to stand together and sing the Shimla song.

One of the Shimlas’ biggest fans, Prof Francis Petersen, Rector and Vice-Chancellor of the UFS, says he will cheer on the team, wishing for another Varsity Cup trophy if the UFS reaches the final. “The UFS is home to top sports stars and winning the Varsity Rugby Cup – following our triumph in the Varsity Netball competition – will be great. Good luck to the team and know that every fellow Kovsie is behind you.”

Big turnaround
The UFS defeated the Nelson Mandela University 72-24 in Gqeberha in its last league match this week to end first on the log. It was the fourth time in 2022 that the Shimlas scored 50 points or more.

This means they will host UP Tuks, who finished fourth, at Shimla Park on Monday, while the University of Cape Town and Stellenbosch University will play in Cape Town in the other semi-final.

The UFS play against the defending champions in the semi-final in what will be a tight affair. In a previous encounter with UP Tuks this month, Shimlas won 26-15.

It was quite a turnaround for the Shimlas, who finished seventh last year. It will be the first time since 2019 that they play in a semi-final.

“What a big confidence booster to play in front of our own supporters,” says Mahlasi.

“Apart from that, we don’t have to travel, which means our bodies will be fresh come Monday.”

He thanked the fans for their continued support and says, “they will be in for quite a show on Monday”.

Sign of unity
The Shimlas got their supporters behind them with a campaign on their Instagram page (@shimlasrugby). Fans can win money if they sing the Shimla song, ‘Every Fellow’, in a video, or use the audio with their favourite Shimla memory.

Mahlasi says the idea is to get fans to sing the song to motivate the team while playing.

“And also, after the game it would be nice if we could all stand and sing together. As a sign of unity.”

“Our main focus is scoring tries,” says Mahlasi.

“For us, it’s not about the semi-final. For us, it’s just another opportunity to score as many tries as we can.”

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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