A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification ; volume:8 ; number:1 ; day:8 ; month:5 ; year:2018 ; pages:1-13 ; date:12.2018
Scientific reports ; 8, Heft 1 (8.5.2018), 1-13, 12.2018
- Urheber
-
Peikari, Mohammad
- Beteiligte Personen und Organisationen
-
Salama, Sherine
Nofech-Mozes, Sharon
Martel, Anne L.
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-24876-0
- URN
-
urn:nbn:de:101:1-2018070421053848507674
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 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
- Peikari, Mohammad
- Salama, Sherine
- Nofech-Mozes, Sharon
- Martel, Anne L.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis
Semi-supervised dictionary learning with label propagation for image classification
Pseudo-label noise suppression techniques for semi-supervised semantic segmentation
Semi-supervised data cleaning
Sparse semi-supervised multi-label feature selection based on latent representation
Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors
Semi-supervised multi-label classification using an extended graph-based manifold regularization
Semi-supervised structured prediction models
Semi-supervised protein subcellular localization
A survey on semi-supervised learning
Semi-supervised learning for image classification
Semi-supervised discovery of differential genes
Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis
Semi-supervised dictionary learning with label propagation for image classification
Pseudo-label noise suppression techniques for semi-supervised semantic segmentation
Semi-supervised data cleaning
Sparse semi-supervised multi-label feature selection based on latent representation
Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors
Semi-supervised multi-label classification using an extended graph-based manifold regularization
Semi-supervised structured prediction models
Semi-supervised protein subcellular localization
A survey on semi-supervised learning
Semi-supervised learning for image classification
Semi-supervised discovery of differential genes
Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis
Semi-supervised dictionary learning with label propagation for image classification
Pseudo-label noise suppression techniques for semi-supervised semantic segmentation
Semi-supervised data cleaning
Sparse semi-supervised multi-label feature selection based on latent representation
Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors
Semi-supervised multi-label classification using an extended graph-based manifold regularization
Semi-supervised structured prediction models
Semi-supervised protein subcellular localization
A survey on semi-supervised learning
Semi-supervised learning for image classification