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07 March 2019 | Story Rulanzen Martin | Photo Rulanzen Martin
CGAS staff with Jessica Lynn
From left: Ankia Bradfield, Sihle Salman, Jessica Lynn, Dr Nadine Lake, programme director, Gender Studies, and Dr Stephanie Cawood, director of CGAS after the talk.

For Jessica Lynn, a transgender activist, referencing the Butterfly to tell her journey, is the perfect metaphor to raise awareness of transgender issues. The Centre for Gender and Africa studies (CGAS) at the University of the Free State (UFS) hosted Lynn at a seminar titled, The Butterfly Project.

The CGAS invited Lynn in an effort to educate and inform students of her own experience as a parent living as a transgender woman. She is a global ambassador at the Kinsey Institute.

Coping mechanisms to escape reality

Born Jeffery Alan Butterworth in 1965, Lynn has become a world-renowned, dynamic and hard-hitting transgender activist. Lynn started her seminar off with: “Who here knows someone that is part of the transgender community?” It was evident that not many people know someone who is transgender. “In the United States only 16% of the population knows someone who is transgender,” she said.

“Everybody has their own story, just like I am only one of the 1.4 million transgender stories in the United States (US).” As a child of English immigrants to the US she was raised as a boy. “At a very young age I wanted to be girl,” she says, “but in 1969 it was not something that was spoken about..”

She started doing photography, painting and sports to stop the feelings she had to become a girl. She became obsessed with painting. “When I am painting that eagle I became that eagle in order to escape my reality.” She came out to her children as transgender during December 2009. She fully transitioned in 2010.

Lynn is the mother of three boys and was married to their biological mother. A botched Texas court restricted her access to her youngest child and to this day she has not been able to see her son.

Transgender discussions on rise in South Africa

“Transgender discussions have been less salient than conversations around homosexuality in South Africa,” said Dr Nadine Lake, programme director for Gender Studies at the UFS.  “But it is clear that raising awareness around transgender issues is starting to take more ground.”

Transgender identity and trans-body rights emerged during the #RhodesMustFall movement in 2015. “It was university students that were primarily driving the transformation agenda,” said Dr Lake.

The seminar on 20 February 2019 was an emotional, explosive and honest narrative of Jessica Lynn cocooning from Jeffrey Alan Butterworth to the phenomenal women she is today.

 

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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