Andreas Leibetseder
Klaus Schoeffmann
ABSTRACT
Modern imaging technology enables medical practitioners to perform minimally invasive surgery (MIS), i.e. a variety of medical interventions inflicting minimal trauma upon patients, hence, greatly improving their recoveries. Not only patients but also surgeons can benefit from this technology, as recorded media can be utilized for speeding-up tedious and time-consuming tasks such as treatment planning or case documentation. In order to improve the predominantly manually conducted process of analyzing said media, with this work we publish four datasets extracted from gynecologic, laparoscopic interventions with the intend on encouraging research in the field of post-surgical automatic media analysis. These datasets are designed with the following use cases in mind: medical image retrieval based on a query image, detection of instrument counts, surgical actions and anatomical structures, as well as distinguishing on which anatomical structure a certain action is performed. Furthermore, we provide suggestions for evaluation metrics and first baseline experiments.
- J. Keckstein. 2017. Endometriosis in the Intestinal Tract - Important Facts for Diagnosis and Therapy. coloproctology 39, 2 (mar 2017), 121--133.Google Scholar
- Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR abs/1412.6980 (2014). arXiv:1412.6980 http://arxiv.org/abs/1412.6980Google Scholar
- Bernd Münzer, Klaus Schoeffmann, and Laszlo Böszörmenyi. 2017. Content-based processing and analysis of endoscopic images and videos: A survey. Multimedia Tools and Applications (jan 2017).Google Scholar
- Konstantin Pogorelov, Kristin Ranheim Randel, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Concetto Spampinato, Duc-Tien Dang-Nguyen, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, and Pål Halvorsen. 2017. KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection. In Proceedings of the 8th ACM on Multimedia Systems Conference (MMSys'17). ACM, New York, NY, USA, 164--169. Google ScholarDigital Library
- Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2015. Going deeper with convolutions. 1--9.Google Scholar
- Charlotte Tsui, Rachel Klein, and Matthew Garabrant. 2013. Minimally invasive surgery: national trends in adoption and future directions for hospital strategy. Surgical Endoscopy 27, 7 (jul 2013), 2253-2257.Google ScholarCross Ref
- Andru P. Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel de Mathelin, and Nicolas Padoy. 2017. EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos. IEEE Transactions on Medical Imaging 36, 1 (jan 2017), 86--97.Google ScholarCross Ref
Index Terms
- Lapgyn4: a dataset for 4 automatic content analysis problems in the domain of laparoscopic gynecology
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