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Sol Phenduka: A masterclass in content creation and monetisation

07 October 2024 | Story Teboho Mositi | Photo Yonela Vimba

Campus buzz: The University of the Free State Qwaqwa Campus was recently abuzz with excitement as it hosted the renowned speaker and podcaster, Sol Phenduka. The event – a public lecture followed by a live podcast session – offered students a unique opportunity to learn from one of the industry's most influential figures.

A Journey of words and wisdom: Phenduka, known for his engaging podcasting style and insightful commentary, shared his personal journey and professional experiences with the captivated audience. He stressed the importance of passion, perseverance, and authenticity in building a successful career.

From library to microphone: "I believe a lot of things in life happen for a purpose," Phenduka reflected. His journey began as a curious child fascinated by words and language. From exploring the library to tuning into radio shows, his love for storytelling and communication blossomed.

Navigating challenges and triumphs: Phenduka candidly discussed the challenges he faced during his university years and early career. He encouraged students to pursue their passions, regardless of societal expectations. His story served as a reminder that even the most successful individuals have faced setbacks.

The rise of social media influencers: Addressing the growing trend of social media influencers taking on roles in traditional media, Phenduka offered a thought-provoking perspective. He argued that while social media can be a powerful platform, it is essential to have the necessary skills and experience to succeed in more established fields such as radio and television.

Overcoming adversity: Phenduka's journey has not been without its challenges. He shared his experiences with unemployment and the mental health struggles that can accompany such setbacks. However, he emphasised the importance of resilience and finding new opportunities.

Student engagement and inspiration: The event was a resounding success, inspiring students to pursue their dreams and explore the possibilities of a career in media and content creation. The Division of Student Affairs team played a crucial role in organising the event, providing a platform for students to connect with influential figures.

Phenduka's visit to the University of the Free State Qwaqwa Campus was a memorable experience for all who attended. His insights into content creation, monetisation, and personal growth resonated with students and left a lasting impression. As the campus continues to foster a culture of innovation and inspiration, events such as these play a vital role in shaping the future of its students.

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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