VISEM

Trine B. Haugen, Steven A. Hicks, Jorunn M. Andersen, Oliwia Witczak, Hugo L. Hammer, Rune Borgli, Pål Halvorsen, Michael Riegler
2019 Proceedings of the 10th ACM Multimedia Systems Conference on - MMSys '19  
Real multimedia datasets that contain more than just images or text are rare. Even more so are open multimedia datasets in medicine. Often, clinically related datasets only consist of image or videos. In this paper, we present a dataset that is novel in two ways. Firstly, it is a multi-modal dataset containing different data sources such as videos, biological analysis data, and participant data. Secondly, it is the first dataset of that kind in the field of human reproduction. It consists of
more » ... . It consists of anonymized data from 85 different participants. We hope this dataset paper will inspire people to apply their knowledge in this important field, generate shareable results in the domain, and ultimately improve human infertility investigation and treatment.
doi:10.1145/3304109.3325814 dblp:conf/mmsys/HaugenHAWHBHR19 fatcat:p6gu3pxvvfcnnbkzxeqei4vq64