VISEM-Tracking, a human spermatozoa tracking dataset.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
09 05 2023
09 05 2023
Historique:
received:
24
12
2022
accepted:
20
04
2023
medline:
10
5
2023
pubmed:
9
5
2023
entrez:
8
5
2023
Statut:
epublish
Résumé
A manual assessment of sperm motility requires microscopy observation, which is challenging due to the fast-moving spermatozoa in the field of view. To obtain correct results, manual evaluation requires extensive training. Therefore, computer-aided sperm analysis (CASA) has become increasingly used in clinics. Despite this, more data is needed to train supervised machine learning approaches in order to improve accuracy and reliability in the assessment of sperm motility and kinematics. In this regard, we provide a dataset called VISEM-Tracking with 20 video recordings of 30 seconds (comprising 29,196 frames) of wet semen preparations with manually annotated bounding-box coordinates and a set of sperm characteristics analyzed by experts in the domain. In addition to the annotated data, we provide unlabeled video clips for easy-to-use access and analysis of the data via methods such as self- or unsupervised learning. As part of this paper, we present baseline sperm detection performances using the YOLOv5 deep learning (DL) model trained on the VISEM-Tracking dataset. As a result, we show that the dataset can be used to train complex DL models to analyze spermatozoa.
Identifiants
pubmed: 37156762
doi: 10.1038/s41597-023-02173-4
pii: 10.1038/s41597-023-02173-4
pmc: PMC10167330
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
260Informations de copyright
© 2023. The Author(s).
Références
Hum Reprod. 2007 Jun;22(6):1506-12
pubmed: 17376819
Comput Biol Med. 2019 Jun;109:182-194
pubmed: 31059902
Med Biol Eng Comput. 2020 May;58(5):1047-1068
pubmed: 32144650
Sci Rep. 2019 Nov 14;9(1):16770
pubmed: 31727961
Comput Biol Med. 2017 Apr 1;83:143-150
pubmed: 28279863
Andrology. 2016 Sep;4(5):857-65
pubmed: 27371336
Commun Biol. 2019 Jul 3;2:250
pubmed: 31286067
Nat Rev Urol. 2021 Jul;18(7):387-403
pubmed: 34002070
J Assist Reprod Genet. 2023 Feb;40(2):235-239
pubmed: 36534231
Comput Biol Med. 2017 Dec 1;91:181-190
pubmed: 29100112
Comput Methods Programs Biomed. 2015 Dec;122(3):409-20
pubmed: 26345335
Hum Reprod. 2021 Aug 18;36(9):2429-2442
pubmed: 34324672