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17 May 2024
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Story Anthony Mthembu
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Prof Magdalena Sobon from Poland and Michael Jackson Blebo from Ghana shared their expertise with staff and students during their visit to the Department of Fine Arts at the University of the Free State.
In a concerted effort to solidify its identity in South Africa and abroad, the Department of Fine Arts at the University of the Free State (UFS) recently played host to two distinguished artists: Prof Magdalena Sobon from the Wladyslaw Strzeminski Academy of Fine Arts in Lodz, and the Ghanaian multidisciplinary artist, Michael Jackson Blebo.
Dr Adelheid Von Maltitz, Senior Lecturer in the Department of Fine Arts at UFS, lauded the visits, held between 19 and 29 March 2024, as an enriching learning experience for the faculty and students within the department.
The visit highlights
During their visit to UFS, Prof Sobon and Blebo actively engaged with the department’s staff and students. Prof Sobon, an acknowledged paper-making artist, conducted a comprehensive two-day workshop, imparting extensive knowledge in this craft. As a direct outcome of this workshop, the department has procured the requisite equipment and materials, enriching the students’ capabilities in this medium. Blebo on the other hand, conducted a demonstration on clay bust modelling and both artists participated in critique sessions with the fourth-year students. Dr Von Maltitz underlined the significance of Blebo’s African heritage, noting, ‘’For our students to interact with a young, accomplished artist of his calibre is of benefit to them in terms of how they may envision their art careers.’’ Of particular note were Prof Sobon’s interactions with the students, wherein she shared her own artistic practices from her student years during her lectures.
In addition to their engagements with the students, Prof Sobon and Blebo also had the opportunity to present their research to second-year sculpture students at the Richmond Land Art Project, an off-campus initiative fostering art creation centred on socio-economic and other pertinent issues.
Future collaborations
Dr Von Maltitz emphasised the importance of maintaining ties with these eminent artists for the department’s growth and global outreach. Prof Sobon’s visit has paved the way for two department members to visit the Wladyslaw Strzeminski Academy of Fine Arts in Lodz in the near future. ‘’These individuals will get an opportunity to learn about studio setups and network with fellow academics, creative researchers, and artists,’’ stated Dr Von Maltitz. She hailed the visit by the two artists as both stimulating and fruitful, particularly for the students.
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.