Scaling down annotation needs: The capacity of self-supervised learning on diatom classification
Summary: In the field of life sciences, diatoms are essential biomarkers for assessing environmental health. Recent advancements in deep learning have transformed the traditionally laborious process of diatom classification through light microscopy. However, commonly used supervised learning methodo...
Saved in:
| Main Authors: | Mingkun Tan, Daniel Langenkämper, Michael Kloster, Tim W. Nattkemper |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004225004973 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Environmental stresses on diatom and dinoflagellate morphology and community structure in the western Pacific Ocean
by: Yingjie Mao, et al.
Published: (2025-06-01) -
Green synthesis of low-cost graphene oxide-nano zerovalent iron composite from solid waste for photocatalytic removal of antibiotics
by: Aditya Kumar Jha, et al.
Published: (2024-12-01) -
Histopathological fingerprints and biochemical changes as multi-stress biomarkers in fish confronting concurrent pollution and parasitization
by: Sasanka Pramanik, et al.
Published: (2024-12-01) -
Intracellular nutrient storage during ice algal spring blooms in the Canadian high Arctic
by: C.J. Mundy, et al.
Published: (2025-08-01) -
Revisiting harmful algal blooms in India through a global lens: An integrated framework for enhanced research and monitoring
by: Aditya R. Nayak, et al.
Published: (2025-02-01)