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Vrystaat Arts Festival

08 July 2022

The Vrystaat Arts Festival celebrates its twenty-second birthday this year, a remarkable achievement! After two challenging years of lockdown restrictions, the festival team is excited to work towards various in-person events again, including the first ever mini-MARK in July, the traditional arts festival with all the familiar faces in October, and the second instalment of the festival's classical music festival, Vrystaat Klank & Klassik, in November.

From 12-16 July, the festival will launch the inaugural Mini-MARK on the Bloemfontein campus of the University of the Free State (UFS). This smaller arts and crafts market will mostly be concentrated around the Callie Human Hall and the Exam Rooms on the UFS-campus and will involve only curated, unique, handmade, high quality, authentic South African products and food stalls, and an open stage for entertainment.

The mini-MARK will also include a selection of theatre, music, and dance productions. A definite highlight on the theatre program is the debut comedy, Laerskool Noord, with Margit Meyer-Rödenbeck, Marion Holm, and Ilne Fourie. Something special on the menu for the little ones is Liewe Heksie en die Rolskaate. Several local musicians will perform at the Vulture Club during the festival week and the contemporary dance production, POP, with Bloemfontein-based dancer, Thami Majela, and French choreographer, Matthieu Nieto will also be on the stage.

Two productions hosted in collaboration with the UFS’s Drama and Theatre Arts Department are The dressing room and Hoe Later, Hoe Kwater. The dressing room is based on the real antics of backstage life during the production of a community theatre musical. The show is not a musical, but a very relatable comedy to anyone who has been through the hustle of being backstage during a production.

Hoe Later, Hoe Kwater is an Afrikaans translation by Pierre van Pletzen of Michael Pertwee and John Chapman's Holiday Snap, and stars Barend Kriel, Mark Dobson, Jané Schnetler, DJ Kruger, Danielle Doubell, Amira-Xandria van Biljon, Paquot.

From 2-8 October 2022, the customary Vrystaat Arts Festival, with a full program including theatre productions, literature festival, film festival, visual and experimental art, as well as a much larger arts market, will also be presented on the UFS campus. Keep an eye out in the press and the arts festival's social media platforms for more information on the October program.

Entrance tickets to the festival grounds and to the theatre productions are already for sale at https://www.webtickets.co.za/.

For more information about this year's Vrystaat Arts Festival, please email mark@vrystaatkunstefees.co.za or alternatively send a WhatsApp to 063 584 4379.

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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