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23 October 2019 | Story Valentino Ndaba | Photo Valentino Ndaba
Dr Patience book
From left: Prof Melanie Walker (SARChI Chair and Director of Higher Education and Human Development Research Group), Dr Patience Mukwambo (author of the monograph), and Dr Mikateko Hoppener, Senior Researcher in the group.

“A quality higher-education learning experience is a transformative experience for both students and lecturers who develop their minds in criticality, as well as social and self-identity, in addition to other skills and competencies.” This was the message from Dr Patience Mukwambo at the launch of her recently published book – ‘Quality in Higher Education as a Tool for Human Development: Enhancing Teaching and Learning in Zimbabwe’.

The book is a product of her doctoral research and was launched by the office of the SARChI Chair in Higher Education and Human Development, where Dr Mukwambo is a full-time researcher and was introduced at an event held at the Bloemfontein campus of the University of the Free State (UFS) on 21 October 2019. 

Depressing higher-education system

Dr Mukwambo was joined in conversation by Prof Brian Raftopoulos, a Mellon Senior Research Mentor in the Centre for Humanities Research at University of the Western Cape. 

Both scholars testified to the concept of critical thinking, alluding to the depressing state of education in Zimbabwe due to limitations posed by a non-expanding economy and a repressive political space. 

Prof Raftopoulos told the audience the idea of critical thinking has a long genealogy in radical thought which has deepened its roots in modern-day society. 

“What you have seen through the introduction of STEM (Science, Technology, Engineering, and Mathematics), is the increasing idea of functionalising education for a work economy. More often than not, you will hear the state saying it is up to school-leavers to create their own jobs,” said Prof Raftopoulos. According to Dr Mukwambo, part of the challenge is that “critical thinking is omitted on purpose and therefore universities lack a moral compass to work from”.

“While the broader economy might be constraining there are opportunities to develop critical thinking in the classroom, although it might not be uniform across all universities,” said Dr Mukwambo.

Equipping graduates with critical-thinking skills contributes to a range of benefits, such as improved wellbeing, economic outcomes, political engagement, and human capital formation. Quality in teaching and learning is therefore indeed a step in the right direction, towards social justice.


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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