VISEM: A Multimodal Video Dataset of Human Spermatozoa

Haugen, Trine B.; Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Hammer, Hugo Lewi; Borgli, Rune Johan; Halvorsen, Pål; Riegler, Michael
Chapter, Peer reviewed
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https://hdl.handle.net/10642/8248
Date
2019
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Original version
Haugen TB, Hicks S, Andersen JM, Witczak O, Hammer HL, Borgli RJ, Halvorsen P, Riegler M: VISEM: A Multimodal Video Dataset of Human Spermatozoa. In: Zink M, Toni, Begen A. Proceedings of the 10th ACM Multimedia Systems Conference, 2019. ACM Publications   https://dx.doi.org/10.1145/3304109.3325814
Abstract
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 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.
Publisher
ACM Publications
Series
ACM MMSys conference series;