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05 November 2020 | Story Andre Damons | Photo Supplied
Heinrich Janse van Rensburg’s is a 5th year medical student from the University of the Free State whose photo was highly commended at the Imperial College London’s Global Creative Competition: Medical Student Responses to COVID-19.

A late-night photo taken through a window at the Pelonomi hospital by a final-year medical student from the University of the Free State (UFS) was highly commended at the first Global Creative Competition: Medical Student Responses to COVID-19.

The competition, held by the Imperial College London, received more than 600 entries from more than 52 countries. The competition was held to bring together the global community of medical students to submit their creative responses to COVID-19 and to provide a platform for them to reflect on their personal and professional experiences during this challenging time.

Medical students from around the world could enter in two categories; visual and literary, and the winners were announced during a Global Awards Ceremony on 14 October.

Meaning behind the photo

Heinrich Janse van Rensburg’s late -night photo highlights the economic inequality that persists in South Africa. The photo was taken from the Pelonomi Hospital which is located in Heidedal, Bloemfontein, and shows the old, forsaken Dutch Reformed church in the foreground, shacks in the background with smoke billowing from the dwellings, where up to six people live in one room trying to stay warm during winter. They are built so close to each other that there can be no talk of effective social distancing.

According to Janse van Rensburg the theme of inequality in the South African milieu is further shown in the striking contrast between light and dark in the picture. “And now, with the COVID-19 pandemic placing a massive burden on an already struggling healthcare system the inequality is even more visible,” says Janse van Rensburg.

 

Janse van Rensburg’s late-night photo taken from the Pelonomi Hospital in Heidedal, Bloemfontein, shows the economic inequality that persists in South Africa. The photo was highly commended at the Imperial College London’s Global Creative Competition for Medical Student Responses to COVID-19.


A little shocked 

He was a little shocked when he heard his photograph was highly commended. Janse van Rensburg says: “Imperial College London is a big institution and being an international competition I did not really expect a lot. There were participants from over 52 countries, and having seen some of the works that were submitted it feels special to be one of the students being noticed.”

Janse van Rensburg, who has never considered doing art, heard about the competition through the Faculty of Health Sciences platforms during lockdown level 5. He saw it as an opportunity to reflect, which has become even more imperative in times like these.

He says he does not go searching for art, but “notices” it from being conscious – something he thinks is important in medicine and life.

Value of creativity in promoting mental well-being

Dr Lynette van der Merwe, undergraduate medical programme director, School of Clinical Medicine, congratulated Janse van Rensburg, saying this commendation in an international competition underscores his talent and the value of creativity in promoting mental well-being.

“Heinrich’s artwork and showcase precisely what we aspire to develop in our exceptional UFS doctors-in-training: a professional with self-awareness, empathy and humanity.

“We initiated a Mental Health Awareness initiative and art competition in the School of Clinical Medicine in 2018 to promote creative expression as a means of supporting students’ mental health. Heinrich has won awards with his creative contributions every year, exhibiting his imaginative ability.”

Surgery and photography

Janse van Rensburg says he has always loved beautiful things and the meaning people attach to art is a good way to communicate that. He has applied for an internship at the Mitchells Plain hospital for when he completes his studies at the end of this year and is thinking of specialising in reconstructive or pediatrics surgery. Besides that, he would like to tap into his creative side and continue with the photography.

  • Watch the video of the winners here

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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