“UDE DIATOMS in the Wild 2024”: a new image dataset of freshwater diatoms for training deep learning models
Aishwarya, Venkataramanan; Michael, Kloster; Andrea, Burfeid-Castellanos; Mimoza, Dani; Ntambwe A S, Mayombo; Danijela, Vidakovic; Daniel, Langenkämper; Mingkun, Tan; Cedric, Pradalier; Tim, Nattkemper; Martin, Laviale; Bánk, Beszteri.
Research article (journal) | Peer reviewedDetails about the publication
Journal: GigaScience
Volume: 13
Status: Published
Release year: 2024
Link to the full text: https://academic.oup.com/gigascience/article/doi/10.1093/gigascience/giae087/7912108?login=true
Keywords: diatom, light microscopy, digital imaging, slide scanning, aquatic ecology, deep learning, out-of-distribution detection,
semi-supervised learning
Authors from the University of Münster
| Tan, Mingkun | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |