Statistics Seminar: Ashnil Kumar (Usyd) -- Computing the Similarity of Medical Images

Abstract:

Imaging is a critical and indispensable component of modern healthcare. 
The automated analysis of medical images has a vast range of applications 
in evidenced-based diagnosis, physician education, and biomedical research. 
These decision support applications are predicated on the ability to 
objectively compute the similarity of image content in a manner that 
matches the subjective similarity judgement of human domain experts. In 
this talk, I will present my work within this field, describing methods 
for characterising and comparing the visual content of images, including 
a graph-based method for comparing 3D PET-CT lung cancer images and my 
more recent work using convolutional neural networks.