=Paper= {{Paper |id=Vol-2366/preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-2366/preface.pdf |volume=Vol-2366 }} ==None== https://ceur-ws.org/Vol-2366/preface.pdf
Sharib Ali, Felix Zhou, Christian Daul (Eds.)



Proceedings of the
EAD 2019
Workshop on Endoscopic Artefact
Detection Challenge

Co-located with the 16th International Symposium on Biomedical
Imaging (ISBI)
Venice, Italy, April 8, 2019
https://biomedicalimaging.org/2019/challenges/
                                    Preface
Endoscopy is a widely used clinical procedure for the early detection
of numerous cancers (e.g., nasopharyngeal, oesophageal adenocar-
cinoma, gastric, colorectal and bladder cancers) therapeutic proce-
dures and minimally invasive surgery (e.g., laparoscopy). A major
drawback of endoscopy video frames is that they are heavily cor-
rupted with multiple imaging artefacts (e.g., pixel saturations, mo-
tion blur, defocus, specular reflections, bubbles, fluid and debris).
These artefacts not only present difficulty in visualizing the underly-
ing tissue during diagnosis but also affect any post-analysis methods
such as lesion detection and video image retrieval required for infor-
mative reporting and follow-ups. Accurate detection of artefacts is
therefore a core challenge in a wide-range of endoscopic applications
across multiple disease areas. The precise detection of endoscopic
artefacts is crucial to achieve high-quality endoscopic frame restora-
tion and necessary to realize reliable computer assisted endoscopy
tools for improved patient care.
   Together with six international clinical data providers, we col-
lated a large set of multi-organ, multi-modal and multi-population
endoscopy video frames corrupted with different artefacts. Gold stan-
dard ground truths were established and made publicly available to
the community. This challenge comprised of three sub-challenges:
1) detection, 2) semantic segmentation and 3) detection generaliza-
tion. All algorithms were evaluated online with the same evaluation
metrics. We attracted nearly 29 AI algorithm developers and 529
enthusiasts to participate in the EAD2019 challenge.
   This volume contains the proceedings of the first edition of the
EAD challenge workshop, which was held in Venice, Italy, on April 8,
2019 co-located with the 16th International Symposium on Biomed-
ical Imaging (ISBI). This editiion of the EAD workshop has been
compiled from the 10 accepted papers submitted by top performing
teams (12 out of 29) in an endoscopy artefact detection challenge1 .
Each paper was reviewed by at least 2 reviewers in the field.

Workshop and Challenge Organizers: Sharib Ali, Felix Zhou and
Christian Daul

1
    https://ead2019.grand-challenge.org
             EAD2019 Challenge Organization




Organizing committee



Sharib Ali             Institute of Biomedical Engineering, Big
                       Data Institute, University of Oxford, Ofx-
                       ord, UK
Felix Zhou             Ludwig Cancer Institute, University of
                       Oxford, Oxford, UK
Christian Daul         University of Lorraine, CNRS, CRAN,
                       UMR 7039, Nancy, France
Maxim Loshchenov       Prokhorov General Physics Institute
                       of the Russian Academy of Sciences,
                       Moscow, Russia



Program committee



Jens Rittscher         Department of Engineering Science, Uni-
                       versity of Oxford, Oxford, UK
Simon Leedham          Welcome Trust Centre for Human Genet-
                       ics, Oxford, UK
Walter Blondel         University of Lorraine, CNRS, CRAN,
                       UMR 7039, Nancy, France
Enrico Grisan          Department of Information Engineering,
                       University of Padova, Padova, Italy
Georges Wagnieres      EPFL, Lausanne, Switzerland
Victor Loschenov       Prokhorov General Physics Institute
                       of the Russian Academy of Sciences,
                       Moscow, Russia
Faisal Mahmood         Johns Hopkins University, Baltimore,
                       USA
Clinical collaborators
James East               Translational Gastroenterology Unit,
                         John Radcliffe Hospital, Oxford, UK
Barbara Braden           Translational Gastroenterology Unit,
                         John Radcliffe Hospital, Oxford, UK
Adam Bailey              Translational Gastroenterology Unit,
                         John Radcliffe Hospital, Oxford, UK
Stefano Realdon          Istituto Oncologico Veneto, IOV-IRCCS,
                         Padova, Italy

Event manager

Denise Power             Institute of Biomedical Engineering, Ox-
                         ford, UK

Sponsors

Medical Image Analysis Network (MedIAN), UK
Cancer Research UK (CR UK) Oxford, UK
                 Workshop Organization


Workshop (co)-chair(s)

Jens Rittscher        Department of Engineering Science, Uni-
                      versity of Oxford, Oxford, UK
Christian Daul        University of Lorraine, CNRS, CRAN,
                      UMR 7039, Nancy, France

Proceedings (co)-chair(s)

Sharib Ali            IBME, BDI, Department of Engineering
                      Science, University of Oxford, Ofxord, UK
Felix Zhou            Ludwig Cancer Institute, University of
                      Oxford, Oxford, UK

Keynote Speakers

Adrien Bartoli        UniversiteĢ Clermont Auvergne, Clermont-
                      Ferrand, France
James East            Translational Gastroenterology Unit,
                      John Radcliffe Hospital, Oxford, UK
Adam Bailey           Translational Gastroenterology Unit,
                      John Radcliffe Hospital, Oxford, UK

Reviewers

Qi, Huan            Gao, Yuan             Daul, Christian
Dmitrieva, Mariia   Xu, Zhenghua          Khanal, Bishesh
Wollmann, Thomas    Gupta, Soumya