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25 August 2023 | Story Naledi Mokhasinyane | Photo Thandiswa Sihlezana
Tlotlisang Mhlambiso
Tlotlisang Mhlambiso with his new book, A Journey Worth the Ride.

Tlotlisang Mhlambiso, a University of the Free State (UFS) BEd student in his final year, wears multiple hats as an author, poet, and Teaching Assistant. And the 23-year-old’s literary prowess continues to grow: He launched his second book, a collection of short stories titled A Journey Worth the Ride, at the UFS Academy for Multilingualism recently. 

Hailing from Lugcadweni village in the Eastern Cape's Mount Fletcher (Tlokoeng), Mhlambiso self-published his debut poetry book, Ukuphuma Kwelanga, in 2020. His debut book received a public launch on 14 June 2023 at the UFS’s Sasol Library, and his second book was launched on 11 August.

Unveiling "A Journey Worth the Ride": iCAN Project hosts the remarkable launch

The launch of A Journey Worth the Ride was hosted by the iCAN Project, led by Mhlambiso's former lecturer Dr Peet van Aardt. Mhlambiso’s book delve into resilience, sorrow, and love. He was recognised by the National Youth Development Agency as 2023's Education Trailblazer. He says he hopes to battle illiteracy through his poetry and stories, which shone at the National Arts Festival and are preserved in the Amazwi South African Museum of Literature. He has also co-authored an international journal spanning continents.

Inspired by an English teacher's introduction to the poem ‘Africa My Africa’ by David Diop, Mhlambiso started writing in primary school. “We are created differently; some are vocal, and some are not,” he says. “Being part of some that are not has made me opt for writing instead of constantly being vocal about issues and situations that some people go through.” University life sparked his passion for short stories, commencing with his submission of ‘Uthando Lukamama’ to the iCAN Project. 

Empowering through words: Mhlambiso's multifaceted literary mission

Mhlambiso explains he also uses writing to address unspoken societal issues, improve literacy levels, and preserve African languages. He captures contemporary stories, aligning with the iCAN Project's aim of decolonising curricula. He envisions fostering a more literate society through reading. “Dr Peet Van Aardt once said the project is a response from the centre for the ever-increasing need for decolonised curricula, steeped in the local cultural perspective of ubuntu, which is the iCAN Project, and A Journey Worth the Ride has exactly tapped into that, as it is a multilingual book,” he added.

He believes balancing academics and writing involves limited socialising and intensive reading. Creative writing masterclasses and workshops by the Academy for Multilingualism under the iCAN Project, and the UFS African Languages Press nourish his creativity. 

From dreams to community transformation: Mhlambiso's literary odyssey

Mhlambiso hails from an environment without libraries, and now he aims to transform his community through writing. His goal is to donate his works to schools, libraries, and book clubs, promoting literacy in native languages. His poetry and stories encourage collective change and emphasise youth action. 

His works relate strongly to the UFS’s Vision 130 and one of its component values, Innovation and Impact. His aims align with this vision through his engagements with local schools, libraries, and book clubs to confront their challenges. This includes addressing issues like the scarcity of books in native languages and contributing authored works to bridge this gap. 

As Mhlambiso's oft-repeated resounding call goes: "Let's embark on this journey; it is worth the ride!” 

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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