MIRACLE (Microscopic Image Processing, Analysis, Classification and Modelling Environment,
FP7-PEOPLE-2009-IRSES) is a Marie Curie Actions - International
Research Staff Exchange Scheme (IRSES) of the European Union's 7th
Framework Programme . The project started on May 1, 2010, and will
last 46 months.
The main objective of this exchange scheme is to train
Ph.D. students and post-docs and to create new research opportunities
in the emerging area of microscopic image processing with significant
health benefits. To this day, analysis of histology images of the human
tissue biopsies remains the most reliable way of diagnosing and grading
cancer. Our work on the computer-aided classification and rating of
histology images is motivated by the fact that there is significant
inter- and intra-rater variability in the grading and diagnosis of
cancer from histology slides by human experts. Computational
histopathology can assist the pathologists in making the grading and
diagnosis reproducible, by providing useful quantitative measures from
histology images of a patient suspected or diagnosed of having cancer.
In this exchange programme, young researchers will be
trained and educated in a
virtual lab consisting of facilities from Bilkent University (BILKENT), University of Caen
Information and Technology Institute – Centre for Research and
Technology Hellas (ITI-CERTH),
Ohio State University (OSU), and
University of Warwick (WARWICK).
As a result of this collaboration, image processing algorithms and
software for images of follicular lymphoma will be developed, workshops
will be organised and joint scientific papers will be published,
including a special issue in a respected scientific journal on the
topic of microscopic image processing.