Latest News Archive
Please select Category, Year, and then Month to display items
29 March 2021
|
Story Lacea Loader
![]()
1. Its support of and confidence in the leadership of the Rector and Vice-Chancellor of the UFS, Prof Francis Petersen and his team, and duly recognises the efforts and results achieved at the University during the challenges posed by the COVID-19 pandemic, as well as the current nationwide student protest on the payment of student debt.
2. In this context, the Council also distances itself and deplores the statements made by the leadership of the
Institutional Student Representative Council (ISRC), on national television on Monday 15 March 2021, as it pertained to the demand for the immediate resignation of the Rector and Vice-Chancellor, and the statements pertaining to the Chancellor, Prof Bonang Mohale, and Chairperson of the Council, Dr Willem Louw. The Council notes that Mr Katleho Lechoo, President of the ISRC subsequently retracted the utterances.
3. The Council strongly affirms its confidence in the relationship between the leadership of the UFS and the ISRC and expresses its appreciation for the University leadership’s commitment to continuously engage with students about matters of concern to them. The Council furthermore encourages positive and constructive engagement by the ISRC with the University leadership, as this contributes to shared-understanding of the challenges faced by the South African higher education sector and the governance of the UFS.
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.