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03 January 2020 | Story Leonie Bolleurs | Photo Leonie Bolleurs
Endangerd read more
Prof Aliza le Roux and Dr Mpho Ramoejane at the vulture restaurant, nearly 30 km from Clarens. This is a safe space for vultures to feed, in an effort to increase their declining numbers.

Endangered bird species such as the Cape and bearded vultures attract bird enthusiasts from afar. These birds are close to extinction in Southern Africa and classified as near threatened on the International Union for Conservation Nature (IUCN) list, with a strong global decline in their numbers.  

A viewing hide constructed by honorary rangers in the Golden Gate Highlands National Park, about 30 km from Clarens in the Eastern Free State, offers tourists the opportunity to view and photograph the birds as they feed at one of South Africa’s close to 200 vulture restaurants. 

This tourist attraction is situated in a good location from a conservation perspective, with vulture colonies and – importantly – water close by, according to Prof Aliza le Roux

Prof Le Roux, Associate Professor in the Department of Zoology and Entomology on the Qwaqwa Campus of the University of the Free State (UFS) and affiliated to the Afromontane Research Unit (ARU), is working with one of her students, Agnes Mkotywa, on a study regarding the effectiveness of this feeding site. 

Poisoned carcasses big threat to vultures 

She said there are quite a few vulture restaurants in the area, with the most famous one at Giants Castle.  

A vulture restaurant is an area where park rangers drop non-poisoned carcasses, mostly donated by nearby farmers. Poisoned carcasses, bait for other animals such as jackals and caracals, are one of the biggest threats to vultures. 

The vulture restaurants, an effort to get vulture populations to grow, are within the reach of Cape and bearded vultures. But, as found in Mkotywa’s study, the initiative has its shortcomings.  

 

Prof Le Roux said the current structures are open, and black-backed jackals come to feed any time of the day and night. “There is more feeding of the jackals than the intended vultures, and the current structure does not protect the vultures against the jackals,” she said. Jackal activity at the vulture restaurant is significantly higher than elsewhere in the park, as supported by camera traps set up in the park by Dr Mpho Ramoejane, currently an ARU postdoctoral researcher. 

Raised platform a possible solution 

“This is one of our primary research findings. A possible solution is to put up fences. It will, however, keep everything else out and will be an eyesore from a tourist perspective. A raised platform that could exclude the jackals and still provide the vultures with a large landing place, might work,” Prof Le Roux added. 

Another finding was that carcasses are not dropped regularly enough. Vultures cannot predict when there will be food.  

These findings will be published in peer-reviewed outlets, but it will also be communicated to the management of the South African National Parks (SANParks) to address the problem. “SANParks is involved in the project and wants the information. They said they needed the information and will build on it,” said Prof Le Roux.  

Once the suggested changes are implemented, she is excited to scientifically document how these changes are making a difference. This has the potential to guide the management and development of vulture restaurants elsewhere in South Africa and the world. 

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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