Latest News Archive

Please select Category, Year, and then Month to display items

International Nurses Day: Celebrating the unsung heroes of healthcare

10 May 2023 | Story André Damons | Photo International Council of Nurses

Our Nurses Our Future - International Council of Nurses — International Nurses Day is celebrated around the world on May 12, the anniversary of the birthday of Florence Nightingale. The theme for the 2023 celebration is: Our Nurses. Our Future.

The School of Nursing at the University of the Free State (UFS) will be celebrating International Nurses Day on 12 May 2023, commemorating the anniversary of the birth of Florence Nightingale, the founder of modern-day nursing. The theme for this year’s celebration day is: “Our Nurses. Our Future” as announced by the International Council of Nurses (ICN). The theme of the international global campaign focuses on nursing in the future in order to address global health challenges and improve global health for all.

Nurses are on the frontline, and are pillars of health care systems, spending 24 hours with patients. The future of the nursing profession is mainly dependent on the quality of education offered by nursing education institutions. The School of Nursing trains nurses as clinical specialists and researchers to improve quality patient care.

“The sacrifices and selfless work done by the nurses during the pandemic displays the values of their contribution towards the health of the society. Thus, protection, support and respect for nurses should be promoted to retain and invest in them. The school believes it is not too late for the lessons learnt from the COVID-19 pandemic to be translated into actions for the future, which is the core message of the theme by ICN for 2023,” says Dr Jeanette Sebaeng, Head of the School of Nursing.

Day of activities

In joining the world to celebrate Nurses Day, the school has invited stakeholders and partners in health from both the public and private sectors. The audience will be addressed by among others Prof Mokgadi Matlakala, the Academic Chairperson of the Department of Health Studies at UNISA and the Deputy Chairperson of the Forum for University Deans in South Africa (FUNDISA). There will be several activities taking place during the day that include the Amazing Race, outdoor events, and a tree-planting to commemorate those nurses who lost their lives during the pandemic. It also aims to envision the future of nursing.

The outdoor activities will be held concurrently with the main event from 9:00 to 13:00, with stalls portraying nursing services in various contexts, for example, at private hospitals, Kovsies and in the community. Those who wish to donate blood can visit the South African National Blood Services stall. Basic screening tests such as blood pressure and blood glucose checks will be provided for free to the university community.

The Amazing Race will be held at 10:00, starting at the Amphitheatre above the Equitas parking area, where teams of four stand a chance to win prizes. All students on campus may take part in the competition. The link below can be used by teams who want enter:

Click to view document ENTER

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.

Back

Economic and Management Sciences

Education

Health Sciences

The Humanities

Law

Natural and Agricultural Sciences

Theology and Religion

Open Distance Learning

Business School

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept