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13 March 2018 Photo Edwin Mthimkhulu
Solomon Mahlangu inspires UFS alumnus first Sesotho book
Ace Moloi questions and delves into the concept of freedomin Tholwana Tsa Tokoloho

Tholwana Tsa Tokoloho is the title of Ace Moloi’s anthology of short stories and the name of one of the 14 stories in the book. The anthology is the first book in Sesotho published by the three-time author.

On Friday, 16 March 2018, Tholwana Tsa Tokoloho, an Art Fusion Literature product, will make its debut public appearance during a public reading at the University of the Free State’s Equitas Auditorium at 17:30.

Moloi’s first literary offering was In Her Fall Rose A Nation which was published in 2013 during his final-year as a Communication Science student at the university. In 2016, Moloi published Holding My Breath, which was praised widely for stirring emotions in readers who related to the heart-wrenching narrative of losing a mother. It was only this year that the author managed to achieve his teenage goal of establishing himself as a vernacular author.

Solomon Mahlangu, an African National Congress freedom fighter and Umkhonto we Sizwe militant who was convicted of murder and hanged in 1979, was the inspiration behind the anthology. Mahlangu inspired the Tholwana Tsa Tokoloho story, which is the story of the selflessness of a captured guerrilla hero in the face of police torture and his eventual death by hanging. It represents Mahlangu and those who suffered during the struggle for liberation. 

“My blood will nourish the tree that will bear the fruits of freedom,” are the supposed last words uttered by Mahlangu that inspired the book’s title. Tholwana Tsa Tokoloho means “the fruits of freedom” in Sesotho. For Moloi, writing in the vernacular symbolises the fruits of freedom. “I’m trying to write in a revolutionary spirit, in Sesotho, because we haven’t done that. We have not seriously interrogated political concepts in Sesotho or in any native language,” he said.

Graduate unemployment, violent crime, and sports are some of the other topics tackled in the book. These act as a catalyst for debates over the evidence of ‘the fruits of freedom’ in post-1994 South Africa. 

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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