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14 May 2024
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Story ANTHONY MTHEMBU
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Photo Supplied
Contemporary artist Ibrahim Mahama engaging with students during his visit to the Department of Fine Arts at the University of the Free State (UFS).
Ghanaian contemporary artist, Ibrahim Mahama, visited the Department of Fine Arts at the University of the Free State (UFS) to share insights with staff and students during his stay in the country.
Dr Adelheid Von Maltitz, Senior Lecturer in the Department of Fine Arts at the UFS, highlighted the significance of Mahama’s visit which took place from 21 to 28 March 2024, marking the first instance of such interaction between a Fine Arts department in South Africa and Mahama. She remarked, “It is truly astounding that a person of his calibre dedicated time to focus on our department, and I believe this has catalysed a positive shift within our department.”
Mahama’s impactful presence at UFS
Dr Von Maltitz emphasised that Mahama’s visit aimed to offer staff and students a glimpse into his artistic process and mindset. During his time at the UFS, Mahama, who was virtually overseeing his latest recent large-scale artwork titled Purple Hibiscus, which involved wrapping the Barbican Centre in London, engaged extensively with staff and students from the department about their research. He shared insights into his creative journey, presented select works, and conducted critique sessions with fourth year and postgraduate students, among other activities. Dr Von Maltitz believes this interaction, particularly with students, has significantly bolstered their confidence as aspiring artists, preparing them for professional endeavours.
Broader implications and future prospects
Mahama’s visit not only energised the department’s academic environment but also holds broader implications. Dr Von Maltitz asserted that it will solidify the department’s identity nationally and create avenues for students to pursue residencies in countries like Ghana. Therefore, maintaining a fruitful relationship with Mahama remains a priority for the department.
Reflecting on the visit Dr Von Maltitz concluded, ‘’the key takeaway, especially for the students, was witnessing the potential of their works within the broader South African and international contexts. “
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.