The ITEC LapGyn4 Gynecologic Laparoscopy Image Dataset (v1.0)

The 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:

Surgical Actions

Surgical Actions are general activities performed during surgery involving one or more instruments.

Coagulation
Cutting (high frequency)
Cutting (cold)
Dissection (blunt)
Injection
Sling (hysterectomy)
Suction and Irrigation
Suturing

Anatomical Structures

Anatomical Structures contains a collection of different inner bodily organs that are of significance for several laparoscopic procedures.

Colon
Liver
Ovary
Oviduct
Uterus

Actions on Anatomy

Actions on Anatomy comprises specific actions on particular anatomy and it at this point includes suturing on different organs.

Suturing (uterus)
Suturing (ovary)
Suturing (vagina)
Suturing (other)

Instrument Count *

The Instrument Count dataset contains images of different amounts of visible surgical tools.

0 instruments
1 instrument
2 instruments
3 instruments

Dataset details (sample counts)


Surgical Actions		Anatomical Structures		Actions on Anatomy		Instrument Count
Suction & Irrigation	3036	Uterus	938	Suturing (Uterus)	232	0 Instr.	5100
Suturing	12914	Ovary	1162	Suturing (Ovary)	196	1 Instr.	5206
Cutting (C)	1185	Oviduct	195	Suturing (Vagina)	263	2 Instr.	5856
Cutting (HF)	3752	Liver	138	Suturing (Other)	338	3 Instr.	5271
Dissection (blunt)	1444	Colon	295
Sling (Hyst.)	2752
Coagulat.	3480
Injection	2119
Total	30682		2728		1029		21433

For further information about the dataset's organization see 'Readme.txt' within the download archive below.

Version History

All previous dataset revisions are listed here and their release pages are linked.

v1.2

Unified filenames for Surgical_Actions, Anatomical_Structures and Actions_on_Anatomy
Updated Actions_on_Anatomy: more samples (1029 -> 4787)
Instrument_Count revision 1: removed duplicate files and moved wrongly placed ground truth items

v1.0 (this version)

Initial release (with paper)

Reference and Copyrights

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.

In addition, reference must be made to the following publication when this dataset is used in any academic and research reports:

A. Leibetseder, S. Petscharnig, M. J. Primus, S. Kletz, B. Münzer, K. Schoeffmann, J. Keckstein, LapGyn4: A Dataset for 4 Automatic Content Analysis Problems in the Domain of Laparoscopic Gynecology, ACM Multimedia Systems Conference 2018

BibTeX:

@inproceedings{DBLP:conf/mmsys/LeibetsederPPKM18,
  author    = {Andreas Leibetseder and
               Stefan Petscharnig and
               Manfred J{\"{u}}rgen Primus and
               Sabrina Kletz and
               Bernd M{\"{u}}nzer and
               Klaus Schoeffmann and
               J{\"{o}}rg Keckstein},
  title     = {Lapgyn4: a dataset for 4 automatic content analysis problems in the
               domain of laparoscopic gynecology},
  booktitle = {Proceedings of the 9th {ACM} Multimedia Systems Conference, MMSys
               2018, Amsterdam, The Netherlands, June 12-15, 2018},
  pages     = {357--362},
  publisher = {{ACM}},
  year      = {2018},
  url       = {https://doi.org/10.1145/3204949.3208127},
  doi       = {10.1145/3204949.3208127},
  timestamp = {Wed, 21 Nov 2018 12:44:03 +0100},
  biburl    = {https://dblp.org/rec/conf/mmsys/LeibetsederPPKM18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

* Certain images of the Instrument Count dataset are extracted from the Cholec80 dataset, hence, when utilizing this dataset you are requested to as well refer to Twinada et al. [1].

LapGyn4 is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0, ) and is created as well as maintained by Distributed Multimedia Systems Group of the Institute of Information Technology (ITEC) at Alpen-Adria Universität in Klagenfurt, Austria.

This license allows users of this dataset to copy, distribute and transmit the work under the following conditions:

Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Non-Commercial: You may not use the material for commercial purposes.

For further legal details, please read the complete license terms.

Download

If you agree to above conditions, you are free to download LapGyn4_v1.0 (~11GB).
Additionally, in order to be able to reproduce the results of our baseline evaluations feel free to download mapping files for our exact 5-fold cross validation split: LapGyn4_xval_maps.

[1] A.P. Twinanda, S. Shehata, D. Mutter, J. Marescaux, M. de Mathelin, N. Padoy, EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos, IEEE Transactions on Medical Imaging (TMI), to appear (arXiv preprint), doi:10.1109/TMI.2016.2593957, 2016.