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31 May 2022 | Story Lunga Luthuli | Photo Supplied
Melissa De Aveiro

Singer, writer, and motivational speaker, Melissa de Aveiro, says: “One can only rise from the ashes when the fire starts again, and the beauty of it all is that the ashes is stuck to your clothes. As you move on, you build off it as it falls from your clothes.”

She said: “When the fire starts in you, nothing is going to stop it.”

This she said at the Division of Organisational Development and Employee Well-being’s Rising from the Ashes event held at the Centenary Complex on the Bloemfontein Campus. Melissa’s story is about never giving up and “never backing down – even when people throw you with rocks, use the rocks to build a new road”.

Melissa said: “Many people unfortunately do not rise from the ashes because there is no support from friends, people. You can never do it alone as the journey through the ashes is lonely.”

Melissa believes to get through the ashes, one has to go back and “remind yourself of when it was good in your life, remind yourself about the positive things – even though things might not be great now”.

Known as the 'Weskus Dutchess', and growing up in Vredendal, Western Cape, Melissa’s tough life, sexual abuse, drug abuse, homelessness, and the death of her son never stopped her from dreaming. All the setbacks planted in her a “passion for a guitar and people, a birth of a new season, a desire to change the world”.

To rise from the ashes, Melissa said, “You need to go back to the place where you were hurting, confront the demons, the people that abused you, maybe forgive them and remove the chains you are tied with.”

Susan van Jaarsveld, Senior Director: Human Resources at the University of the Free State, believes that hosting wellness events is a way for the UFS to show that “employees are the most valuable asset of the university and need to be looked after”.

Susan said: “Staff need to know that it is okay not to be okay. However, the UFS has systems to look after your well-being. People need to know that they are not alone, they can make use of the Department of Human Resources’ Careways Employee Wellness Programme.”

Susan believes it was important to host the event, as “staff need face-to-face interaction for their well-being, it helps people to know they are not alone”.

Melissa, the author of the book Weskus Wonderwerk, believes in being unstoppable. She said: “To rise from the trenches, always think positive about yourself, you must exist. You cannot give up; your worth cannot be determined by an individual.” 

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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