Dear all,
I would like to invite you to participate in a 3D Segmetnation Challenge
that will be held in conjunction with the IEEE International Symposium on
Biomedical Imaging (ISBI) 2013 (*
http://www.biomedicalimaging.org/2013/program/isbi-challenges/*). This
annual symposium will take place in San Francisco, CA, from April 7th to
11th, 2013. This challenge is organized by the Seung lab at the
Massachusetts Institute of Technology (
http://seunglab.mit.edu) in
collaboration with Jeff Lichtman lab at Harvard University (
http://labs.mcb.harvard.edu/lichtman/).
A full stack of electron microscopy (EM) slices will be used to train
machine-learning algorithms for the purpose of automatic segmentation of
neurites in 3D. This imaging technique visualizes the resulting volumes in
a highly anisotropic way, so the segmentation of these neural processes is
a very challenging task. An accurate segmentation of the neurites is key to
reconstructing the intrinsic connections of the neural network in that part
of the brain. In this challenge we call for submission of existing and
newly developed segmentation algorithms. For this purpose, we are making
available a large training dataset of mouse cortex in which the neurites
have been manually delineated. In addition, we also provide a test dataset
where the 3D labels are not available. The aim of the challenge is to
compare and rank the different competing methods based on their object
classification accuracy in three dimensions. The algorithms will be ranked
based on their performance on a second test dataset that will be provided a
few days before the final deadline. The results will be presented at the
ISBI challenge workshop, and will be reported also in a high impact factor
journal paper co-authored by all participating teams.
More information about the challenge, along with the information on how to
register can be found at the challenge website:
http://brainiac.mit.edu/SNEMI3D/We look forward to your contribution to this exciting challenge. We would
also appreciate if you could forward this information to other colleagues
or collaborators that may be interested in participating.
Should you have any questions or comments, feel free to contact me at this
email: i <
[hidden email]>
[hidden email]
Best regards,
Ignacio Arganda-Carreras, Massachusetts Institute of Technology.
H. Sebastian Seung, Massachusetts Institute of Technology.
Ashwin Vishwanathan, Massachusetts Institute of Technology.
Daniel Berger, Massachusetts Institute of Technology.
--
Ignacio Arganda-Carreras, Ph.D.
Seung's lab, 46-5065
Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology
43 Vassar St.
Cambridge, MA 02139
USA
Phone: (001) 617-324-3747
Website:
http://bioweb.cnb.csic.es/~iarganda/index_EN.html--
ImageJ mailing list:
http://imagej.nih.gov/ij/list.html
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