Roberto Annunziata – Progress Report 5

The segmentation module of our fully automated tortuosity estimation system has been improved both in terms of modelling curvilinear structures and learning context filters. Moreover, a novel approach to accelerate convolutional sparse coding filter learning has been developed. This is expected to make filter learning much more discriminative and result in a more robust segmentation module. The tortuosity plane has been proposed as a better tool to quantify and interpret tortuosity (an example of how the tortuosity plane is used to map corneal nerve images in terms of tortuosity is included). Please refer to my webpage for further details. http://staff.computing.dundee.ac.uk/rannunziata/publications.html