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UFS student Lerato Pitso set to represent Lesotho in Miss Supranational pageant

18 November 2022 | Story Anthony Mthembu | Photo Supplied

Lerato Pitso, a Bachelor of Social Sciences student at the University of the Free State (UFS), has been selected to represent her home country of Lesotho in the prestigious Miss Supranational competition, which will be held in Poland in 2023. “I’m still nervous about the fact that I have been selected to represent my country in this competition. However, the selection means that I have a lot of people who actually believe in me,” Pitso stated.

Miss Supranational

Miss Supranational is an internationally recognised beauty pageant overseen by the World Beauty Association.This is the third time that a UFS student has participated in this international competition. Earlier this year Boitumelo Sehlotho, a Bachelor of Accounting student at the UFS, who was also named the Face of Lesotho in 2019, represented her country at the Miss Supranational pageant 2022. Thato Mosehle, a graduate from the Faculty of Health Sciences, was runner-up in the Miss Supranational pageant held in Poland in 2021.

Pitso perceives the pageant as a platform to encourage young women to do more to change the world. She was selected to represent Lesotho in the competition based on the contributions she made in and around her community.

Community Engagement

Pitso’s community engagement includes participation in a digital inclusion campaign in Lesotho. “The campaign intended to involve accountable ministries in addressing technological issues to empower students with technological skills to be competent for the global environment. Pitso was also involved in the Meal in a Jar initiative, which was run by the Office for International Affairs at the UFS. Through this initiative, high school learners in the Grassland community in Bloemfontein were taught to recycle materials, and to produce new products which they could then sell for profit. “The project aimed to spark an entrepreneurial mindset,” said Pitso. In addition, she has also worked with the SHE-HIVE Association, a non-governmental organisation based in Maseru, Lesotho, which offers counselling and legal assistance to those who have been affected by gender-based violence. As such, Pitso asserts that she is the best to represent her nation based on the work she has put in.

Preparing for the Miss Supranational stage

Pitso said getting ready for a competition of this magnitude is a huge undertaking. “Preparation for the big stage includes rigorous training in which one learns to walk in a certain manner, and a commitment to the gym in order to be physically fit for the competition.” She also asserts that taking care of her mental health is a priority before walking on that stage.

It is also important to note that the last two winners of the competition are from Africa, and this serves as motivation for Pitso. “The fact that people who come from a similar society to me could attain the prize makes me believe in myself. It means that it’s also possible for me to put in the work and excel in the competition,” she said.

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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