Computer Vision and Modelling in Cancer Call for Papers
Computer Vision and Modelling in Cancer: Abstract Submission
MEETING DATE: Wednesday 11 October 2017
SUBMISSION DEADLINE: 31 July 2017
This BMVA one-day meeting will present state-of-the-art developments
in Computer Vision, Computational Modelling and Mathematical Analysis
applied to Cancer.
Recent progress in imaging hardware, acquisition techniques, and
algorithmic processing of data have led to advances in detection,
diagnosis, staging, treatment, and follow-up in cancer-related
clinical workflows, as well as fundamental understanding of cancer
modelling and dynamics. Cancer imaging includes varied modalities,
and numerous scales including nano, micro, and macro.
This one-day meeting will be dedicated to technical advances that have
potential for clinical relevance, and seeks to bring together a
collection of recently developed approaches in this domain. We hope
the methods presented will inspire future research both from
theoretical and practical viewpoints to spur further advances in the
field.
The topics include, but are not limited to:
segmentation in cancer imaging: from cellular structures to
cells to lesions to tumours
tracking of cells in metastasis and migration processes
multi-modal registration of cancer images
modelling of cancer cells, tumours or vasculature
multi-scale cancer modelling
image-based interventional techniques for cancer treatment
tissue characterisation from images
histopathology image analysis
Keynote Speakers:
Professor Helen Byrne, University of Oxford
https://www.maths.ox.ac.uk/people/helen.byrne
Professor Nasir Rajpoot, Warwick University
http://www.dcs.warwick.ac.uk/~nasir/
Professor Julia Schabel, King's College London
https://kclpure.kcl.ac.uk/portal/julia.schnabel.html
Dr Yinyin Yuan, Institute for Cancer Research
http://www.yuanlab.org/
More details: http://bit.ly/BMVA_Cancer
All those interested in presenting at this meeting are invited to
submit a summary of their talk by July 31, 2017.
Selected papers of this one-day meeting will be invited to submit an
extended version to be included in a special issue of IET Computer
Vision.