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11 February 2022
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Story Leonie Bolleurs and Rulanzen Martin
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After two years of lockdown, online meetings, and limited contact with colleagues, academy at the University of the Free State (UFS) is gradually returning to normal. This month (February 2022), staff, students, and members of related industries will convene on three different occasions to learn about cutting-edge scholarship, to reconnect with each other, and to discuss issues impacting society in the fields of theology, the humanities, and agriculture.
Seminar on ‘The Limits of Decolonisation’ with Prof RW Johnson
Date: 24 February 2022
Time: 09:00-16:00 SAST
Venue/Platform: Equitas Auditorium, UFS Bloemfontein Campus, and Microsoft Teams
Decolonisation has been a heated point of discussion for some time now, but have you ever wondered if there could be limitations hindering the decolonisation project? The Departments of Political Studies and Governance and Philosophy and Classics at the UFS will host an array of academics and experts for a hybrid seminar on the topic The Limits of Decolonisation.
If decolonisation is an important issue for you or if you are interested in the topic and its relevance and influence in the world and academia, you should join or attend the seminar – either online via Microsoft Teams or in person in the Equitas Auditorium – on 24 February 2022 from 09:00.
The keynote speaker is political scientist
Prof RW Johnson from the University of Oxford. Prof Johnson is an emeritus fellow at Magdalen College and is the author of several acclaimed political books. The other speakers are all from the Departments of Political Studies and Governance, and Philosophy and Classics. Terrence Corrigan from the
South African Institute of Race Relations will speak on The relationship between critical race theory and decolonisation.
RSVP: Alice Stander StanderAFM@ufs.ac.za (please specify dietary requirements, as a light lunch will be served)
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
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.