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23 September 2022 | Story Rulanzen Martin | Photo Rulanzen Martin
Donovan Wright
Donovan Wright is currently pursuing his PhD in South African Sign Language linguistics at the UFS.

Donovan Wright recently joined the University of the Free State (UFS) as a lecturer in the Department of South African Sign Language (SASL) and Deaf Studies. As a passionate young academic, Wright ‘found his love’ for SASL during his undergraduate years at the University of the Witwatersrand (Wits). 

In 2016, for the fulfilment of his master’s degree at Wits, Wright completed a thesis titled ‘A preliminary description of South African Sign Language syntax’. He is currently pursuing his PhD at Wits, and his research interests lie in the linguistics of SASL, which became his focus during his postgraduate studies. In his PhD research he focuses on (particular) constructions within SASL and how to best describe and analyse them. “I chose to use an approach to language and grammar not tied to how we perceive and understand spoken languages,” he says. 

‘Teaching SASL is my great passion’

His appointment as a SASL lecturer at the UFS is a fulfilment of his passion for teaching. “Sign languages are commonly misunderstood and thought to be pantomime or gesture,” he says.  “These common misconceptions are the first topic we tackle – whether by linguistic or social argument.” As a SASL linguistics lecturer he says it’s this aspect of the modules that is so rewarding, especially “seeing students realise something new about a sign they already know and have been using. Learning about language while learning a language has its benefits.” 

Empowering students is about access

Wright says access to education is a fundamental right for every student, and that empowering Deaf scholars will ultimately improve how Deaf students access information at universities and elsewhere. “While many students attend university and access their education in a language that is not their mother tongue, Deaf students using SASL are additionally learning across modalities.” 

September is designated as Deaf Awareness Month, with one important aim being to highlight and improve sign language education. The Department of South African Sign Language and Deaf Studies has planned numerous events and initiatives during this month, which will raise awareness and provide community education by visiting schools.  

“The next step is ensuring an environment in which Deaf students who choose to pursue a career in academia are not hindered. Our Deaf students are our future Deaf academics,” Wright says. 

• Members of the Department of South African Sign Language and Deaf Studies will, among other planned events, provide community interpreting services and visit schools in surrounding areas. This year the department is launching a university ‘Deaf Space’ where students, staff, or anyone wishing to engage in SASL can interact, provided you ‘leave your voice at the door’. 


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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