Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning, IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB), IEEE, https://doi.org/10.26083/tuprints-00021524
- Ereignis
-
Veröffentlichung
- (wo)
-
Darmstadt
- (wer)
-
Universitäts- und Landesbibliothek
- (wann)
-
2022
- Urheber
- DOI
-
10.26083/tuprints-00021524
- URN
-
urn:nbn:de:tuda-tuprints-215242
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Prangemeier, Tim
- Wildner, Christian
- Françani, André
- Reich, Christoph
- Koeppl, Heinz W.
- Universitäts- und Landesbibliothek
Entstanden
- 2022
Ähnliche Objekte (12)
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
Active Learning of Continuous-time Bayesian Networks through Interventions
Hybrid master equation for jump-diffusion approximation of biomolecular reaction networks
Spatial Simulations in Systems Biology: From Molecules to Cells
Graph reconstruction using covariance-based methods
Graph reconstruction using covariance-based methods
Stochastic Semantics of Signaling as a Composition of Agent-view Automata
Hybrid master equation for jump-diffusion approximation of biomolecular reaction networks
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Stochastic Semantics of Signaling as a Composition of Agent-view Automata
Self-assembly and Self-organization in Computer Science and Biology
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
Active Learning of Continuous-time Bayesian Networks through Interventions
Hybrid master equation for jump-diffusion approximation of biomolecular reaction networks
Spatial Simulations in Systems Biology: From Molecules to Cells
Graph reconstruction using covariance-based methods
Graph reconstruction using covariance-based methods
Stochastic Semantics of Signaling as a Composition of Agent-view Automata
Hybrid master equation for jump-diffusion approximation of biomolecular reaction networks
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Stochastic Semantics of Signaling as a Composition of Agent-view Automata
Self-assembly and Self-organization in Computer Science and Biology
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
Active Learning of Continuous-time Bayesian Networks through Interventions
Hybrid master equation for jump-diffusion approximation of biomolecular reaction networks
Spatial Simulations in Systems Biology: From Molecules to Cells
Graph reconstruction using covariance-based methods
Graph reconstruction using covariance-based methods
Stochastic Semantics of Signaling as a Composition of Agent-view Automata
Hybrid master equation for jump-diffusion approximation of biomolecular reaction networks
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Stochastic Semantics of Signaling as a Composition of Agent-view Automata