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Dataset . 2018
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Dataset . 2018
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Dataset . 2018
License: CC BY NC
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ZENODO
Dataset . 2018
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Lapgyn4: A Dataset For 4 Automatic Content Analysis Problems In The Domain Of Laparoscopic Gynecology

Authors: Andreas Leibetseder; Stefan Petscharnig; Manfred Jürgen Primus; Sabrina Kletz; Bernd Münzer; Klaus Schoeffmann; Jörg Keckstein;

Lapgyn4: A Dataset For 4 Automatic Content Analysis Problems In The Domain Of Laparoscopic Gynecology

Abstract

This dataset comprises four individual datasets taken from 500+ gynecologic laparoscopic surgeries for the task of automatic content analysis. The individual collections contain image classes depicting general surgical actions, anatomical structures, conducted actions on specific anatomy as well as examples of differing amounts of visible instruments. You are kindly requested to cite the original work that led to the creation of the dataset: https://doi.org/10.1145/3204949.3208127. The dataset is exclusively provided for scientific research purposes and as such cannot be used commercially or for any other purpose. If any other purpose is intended, you may directly contact the originator of the videos, Prof. Dr. Jörg Keckstein. Additionally, in order to be able to reproduce the results of the baseline evaluations conducted with publishing the dataset, mapping files for our exact 5-fold cross validation split are provided. For future updates as well as a more detailed dataset description including sample images, please visit the dataset's homepage: http://www.itec.aau.at/ftp/datasets/LapGyn4/.

{"references": ["https://doi.org/10.1145/3204949.3208127"]}

Related Organizations
Keywords

anatomy, surgical actions, instruments, medical endoscopy data sets, instruments, anatomy

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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