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03 January 2020
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Story Xolisa Mnukwa
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Photo Supplied
The UFS Bloemfontein Campus, South Campus, and Qwaqwa Campus choirs are student-centred choirs functioning under the Student Affairs’ Arts, Culture and Dialogue office.
It has been a noteworthy year for the University of the Free State (UFS) Choir, establishing itself on the student/university choir scene. The choir, based on the Bloemfontein Campus, represented the UFS at the bi-annual KUESTA choir festival earlier this year, showcasing its musical talent. The choir shared a stage with other university choirs from around the country.
The UFS (Bloemfontein Campus) Choir is a 42-member ensemble of students; the other two choirs, based on the South and Qwaqwa campuses, consist of 40 and 62 members respectively. The choirs are administered and managed by the Division of Student Affairs’ Arts, Culture and Dialogue Office. In addition to Kovsie culture, the choirs strive to have a varied repertoire of inclusive music, with the UFS BFN Campus choir performing a diversity of songs in English, Afrikaans, isiXhosa, and Sesotho.
The new South Campus choir was established in 2018 and is led by choir director, Bonisile Gcisa, who specialises in choral music. This leg of the choir will therefore perform many of his works, but will also include some of the Bloemfontein choir’s set lists, since most of the choir members will be auditioning in 2021 for the Bfn choir when they change campuses.
The Qwaqwa Campus choir will lean more towards a choral genre under the direction of Sipho Khumalo.
The UFS Bloemfontein Campus choir was officially re-established under the leadership of choir conductor Leona Geldenhuys in March 2018, and has performed at several events, including the Rector’s Concert, the annual KUESTA choir convention, and the Bloemfontein Choir invitational. The group has also held a number of public performances on the Thakaneng Bridge at the UFS Bloemfontein Campus.
“Part of the UFS Student Affairs’ objective is to create an inclusive and a socially just student lived experience, and that is the mandate the choirs will also adopt. We hope to create an experience that not only enhances our students’ singing abilities, but also contribute to a more inclusive university experience.” – Angelo Mockie – Director: UFS Student Affairs Arts, Culture and Dialogue office.
“Rest well, be safe, and return rejuvenated,” were his parting words to students for the festive season.
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
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.