| dc.contributor.author | Haugen, Trine B. | |
| dc.contributor.author | Hicks, Steven | |
| dc.contributor.author | Andersen, Jorunn Marie | |
| dc.contributor.author | Witczak, Oliwia | |
| dc.contributor.author | Hammer, Hugo Lewi | |
| dc.contributor.author | Borgli, Rune Johan | |
| dc.contributor.author | Halvorsen, Pål | |
| dc.contributor.author | Riegler, Michael | |
| dc.date.accessioned | 2020-02-03T10:32:59Z | |
| dc.date.accessioned | 2020-03-08T22:06:55Z | |
| dc.date.available | 2020-02-03T10:32:59Z | |
| dc.date.available | 2020-03-08T22:06:55Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | 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 | en |
| dc.identifier.isbn | 978-1-4503-6297-9 | |
| dc.identifier.uri | https://hdl.handle.net/10642/8248 | |
| dc.description.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. | en |
| dc.description.sponsorship | This publication is part of the ReproAI project (project number259293/o70), funded by the Norwegian Research Council. | en |
| dc.language.iso | en | en |
| dc.publisher | ACM Publications | en |
| dc.relation.ispartof | MMSys '19: Proceedings of the 10th ACM Multimedia Systems Conference (2019) | |
| dc.relation.ispartofseries | ACM MMSys conference series; | |
| dc.rights | © Haugen, T. B., Hicks, S., Andersen, J. M., Witczak, O., Hammer, H. L., Borgli, R. J., Halvorsen, P., Riegler, M. | ACM 2019. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in
MMSys '19: Proceedings of the 10th ACM Multimedia Systems Conference, http://dx.doi.org/10.1145/3304109.3325814. | en |
| dc.subject | Male fertility | en |
| dc.subject | Semen analyses | en |
| dc.subject | Spermatozoa | en |
| dc.subject | Machine learning | en |
| dc.subject | Artificial intelligence | en |
| dc.subject | Videos | en |
| dc.title | VISEM: A Multimodal Video Dataset of Human Spermatozoa | en |
| dc.type | Chapter | en |
| dc.type | Peer reviewed | en |
| dc.date.updated | 2020-02-03T10:32:59Z | |
| dc.description.version | acceptedVersion | en |
| dc.identifier.doi | https://dx.doi.org/10.1145/3304109.3325814 | |
| dc.identifier.cristin | 1765716 | |
| dc.source.isbn | 978-1-4503-6297-9 | |
