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2025 04 01: Particle Physics and Astronomy Seminar : Machine learning for image processing in Cosmology and Cancer Research

Machine learning for image processing in Cosmology and Cancer Research

  • Date1 Apr 2026
  • Time 15:00 - 16:00
  • Category Seminar

Dr Melis Irfan

Cosmic Microwave Background and 21cm experiments aims to probe the inflationary period and map the reionization history of the Universe from the Big Bang through to Cosmic Dawn and the formation of Large-Scale Structure. Cosmologists must process 2D spatial images of the sky across the third dimension of cosmic time (frequency/redshift). Analogously, biologists, immunologists and histopathologists are trying to map the environments of tumours within 2D or 3D tissue samples across different image "channels" which have had different cells types and features highlighted through chemical/antibody staining.

In this talk I will discuss how common methodologies across the two seemly disparate fields of Cosmology and Cancer Research are cleaning contaminates and foregrounds from the background signals of interest. A selection of fundamental techniques provides the tools required to obtain an understanding of the nature of dark energy and dark matter, how cancer thrives within the body and how it can be eradicated through chemical, hormone and/or surgical treatments. I will focus of the modelling and component separation of diffuse Galactic synchrotron emission for the purposes of CMB and 21cm cosmology and on computer vision techniques for cell segmentation within biomedical imaging.

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