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Amir Parsa Anvar – An Investigation towards the Pixel Colour Statistics in Melanoma Cancer Histology Sample Images
October 19 @ 4:10 pm - 4:35 pm
Melanoma is a deadly form of skin cancer, attributed to the deaths of hundreds of Australians, every year. Digital Histology Images have been used by previous researchers for the diagnosis of melanoma and other cancers, by the automatic detection of mitotic cells. However, although statistical models have been developed for the colour based segmentation of the data, these works have not undertaken a careful analysis of the pixel-based statistics of the data, prior to its modelling. This talk will cover an analysis of the pixel colour statistics of histology image data and some statistical modelling for the segmentation of mitotic and background classes.
Amir Parsa Anvar received a bachelor’s double degree in Mechatronic Engineering and Mathematical and Computer Sciences (Computer Science Focus) in 2012 from the University of Adelaide. He went on to study a Master of Mechatronic Engineering degree at Adelaide, focused on artificial skin development for robotics application, from which he graduated in 2013. This was followed by an Intelligent Robotic Project with Boeing Research & Technology – Australia (during 2014). Parsa is currently studying a PhD, in his second year, at Adelaide University on the detection of features of Melanoma Skin Cancer using Image Processing techniques.