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01 June 2018 Photo Mamosa Makaya
Dialogue on LGBTIQ rights in the legal profession reveals slow progress
Justice Edwin Cameron, Sivuyile Mphatheni and Maralize Conradie
The Black Lawyers Association, in collaboration with the Faculty of Law at the University of the Free State (UFS), held a public dialogue on the rights of the LGBTIQ+ community in the legal profession on 25 May, on the Bloemfontein Campus. On the panel were prominent activists for LGBTIQ+ rights, Justice Edwin Cameron, Judge of the Constitutional Court of South Africa; Maralize Conradie, UFS lecturer in Mercantile Law; and Sivuyile Mphatheni, a Law student and member of the Black Lawyers Association.

Liberal but not yet free
The Constitution of South Africa is considered to be one of the most liberal and inclusive in Africa and the world by protecting the rights of same-sex partnerships pertaining to family rights; marriage and adoption. Yet despite these provisions LGBTIQ+ legal professionals still experience discrimination in the workplace. “The LGBTIQ+ community should be regarded as a demonstration of the complexity of human nature, rather than a minority group,” said Conradie. She said the shift in mind-set could allow for more open dialogue, sharing of knowledge, building of trust, and upholding the rights of minority people. Speaking on behalf of law students, Sivuyile Mphatheni said that despite the many victories, there was still a long way to go to achieving full equality for the LGBTIQ+ community.

Discrimination still holding back society
Speaking to students from all walks of life, Justice Cameron gave a breakdown of various forms of discrimination and the effects they have on the human pysche. Actions such as racism, sexism, sexual harassment, the stigma of people living with HIV/Aids, and the upholding patriarchy in society all infringe on the rights of others, causing a society that is fraught with fear, hate and pain.
  
“South Africa is one of the most progressive countries in Africa regarding human rights, including freedom of speech,” said Justice Cameron. He added that unlike in some African countries where same-sex relationships are still criminalised, the youth of South Africa have a voice. He therefore encouraged students to use it to become change agents, and to eradicate discrimination of all forms.

The Black Lawyers Association, as thought leaders, held the event as a call to action to the entire UFS community to begin to sensitise those around them to the plight of the LGBTIQ+ in the law profession and in society as a whole.

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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