Self-supervised classification of subcellular morphometric phenotypes reveals extracellular matrix-specific morphological responses
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Self-supervised classification of subcellular morphometric phenotypes reveals extracellular matrix-specific morphological responses ; volume:12 ; number:1 ; day:12 ; month:9 ; year:2022 ; pages:1-14 ; date:12.2022
Scientific reports ; 12, Heft 1 (12.9.2022), 1-14, 12.2022
- Creator
-
Wong, Kin Sun
Zhong, Xueying
Low, Christine Siok Lan
Kanchanawong, Pakorn
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-022-19472-2
- URN
-
urn:nbn:de:101:1-2022112921214036067262
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Wong, Kin Sun
- Zhong, Xueying
- Low, Christine Siok Lan
- Kanchanawong, Pakorn
- SpringerLink (Online service)
Other Objects (12)
Self-supervised deep learning encodes high-resolution features of protein subcellular localization
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
Bio-friendly long-term subcellular dynamic recording by self-supervised image enhancement microscopy
Self-supervised Face Representation Learning
Self-Supervised Adversarial Shape Completion
Audio self-supervised learning: a survey
Self-Supervised Learning of Machine Ethics
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides
Semi-supervised protein subcellular localization
Self-Supervised Representation learning for Anomaly Detection
Mitigating Spurious Correlations for Self-supervised Recommendation
Self-supervised learning in natural language processing
Self-supervised deep learning encodes high-resolution features of protein subcellular localization
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
Bio-friendly long-term subcellular dynamic recording by self-supervised image enhancement microscopy
Self-supervised Face Representation Learning
Self-Supervised Adversarial Shape Completion
Audio self-supervised learning: a survey
Self-Supervised Learning of Machine Ethics
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides
Semi-supervised protein subcellular localization
Self-Supervised Representation learning for Anomaly Detection
Mitigating Spurious Correlations for Self-supervised Recommendation
Self-supervised learning in natural language processing
Self-supervised deep learning encodes high-resolution features of protein subcellular localization
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
Bio-friendly long-term subcellular dynamic recording by self-supervised image enhancement microscopy
Self-supervised Face Representation Learning
Self-Supervised Adversarial Shape Completion
Audio self-supervised learning: a survey
Self-Supervised Learning of Machine Ethics
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides
Semi-supervised protein subcellular localization
Self-Supervised Representation learning for Anomaly Detection
Mitigating Spurious Correlations for Self-supervised Recommendation