[robotics-worldwide] [meetings] CALL FOR DATA - MICCAI Endoscopic Vision Challenge

Stefanie Speidel stefanie.speidel at kit.edu
Mon Mar 6 09:44:19 PST 2017

CALL FOR DATA - MICCAI Endoscopic Vision Challenge


Minimally invasive surgery using cameras to observe the internal anatomy is
the preferred approach to many surgical procedures. As a result, endoscopic
image processing and surgical vision are evolving as techniques needed to
facilitate computer assisted interventions (CAI). Algorithms that have been
reported for endoscopic images and video include 3D surface reconstruction,
salient feature motion tracking instrument detection or surgical workflow
recognition. However, what is missing so far are common datasets for
consistent evaluation and benchmarking of algorithms against each other. In
computer vision outside surgical applications, such strategies are common
place but this has not yet been achieved for endoscopic data.  As an
endoscopic vision CAI challenge at MICCAI, our aim is to provide a formal
framework for evaluating the current state-of-the-art, gather researchers in
the field and provide high quality data with protocols for validating
endoscopic vision algorithms.


We invite the community to be part of organizing this challenge
<https://urldefense.proofpoint.com/v2/url?u=https-3A__endovis.grand-2Dchallenge.org_&d=DwICAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2w9WgUqxatzAYKQowOAoK9gsEjl3Wm2ZIQvxelNvPr0&s=glSL4q1izJlPOlwi4K7XQQGRsIih4Lw7zhgM7gT4_dU&e= >  by contributing data for a specific
sub-challenge in the field of endoscopic image processing and surgical
vision (e.g. 3D surface reconstruction, tissue classification, feature or
instrument tracking). All data used in the challenge will be made publically
available and should comply with the quality guidelines described here
<https://urldefense.proofpoint.com/v2/url?u=http-3A__grand-2Dchallenge.org_Challenges-5FChecklist_&d=DwICAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2w9WgUqxatzAYKQowOAoK9gsEjl3Wm2ZIQvxelNvPr0&s=XUfL7tIkQuf1Ba8LCevsFbApS88P3py_vCA5T-tbZiw&e= > . The provider of the
sub-challenge data will coordinate a corresponding journal paper summarizing
the results, contributions and the data itself.


If you are interested in contributing your data and proposing a
sub-challenge, please fill out the checklist
<https://urldefense.proofpoint.com/v2/url?u=https-3A__endovis.grand-2Dchallenge.org_site_EndoVis_serve_public-5Fhtml_Endoscopic-2DChallenge-2DDataCall-5F2017.pdf&d=DwICAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2w9WgUqxatzAYKQowOAoK9gsEjl3Wm2ZIQvxelNvPr0&s=p6v94GHttullOqUj6py9eeWvoACblVUSriDLF9ZO00Y&e= >  and send it to
<mailto:endoscopy-challenge at iar.kit.edu> endoscopy-challenge at iar.kit.edu by
March 24th 2017. Submitted forms will be reviewed by the challenge chairs.
Notification of acceptance will be provided by March 30th. We are looking
forward to hearing from you!


Stefanie Speidel, Lena Maier-Hein and Danail Stoyanov (Challenge chairs)


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