Automated classification of polyps using deep learning architectures and few-shot learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Automated classification of polyps using deep learning architectures and few-shot learning ; volume:23 ; number:1 ; day:20 ; month:4 ; year:2023 ; pages:1-25 ; date:12.2023
BMC medical imaging ; 23, Heft 1 (20.4.2023), 1-25, 12.2023
- Creator
-
Krenzer, Adrian
Heil, Stefan
Fitting, Daniel
Matti, Safa
Zoller, Wolfram G.
Hann, Alexander
Puppe, Frank
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12880-023-01007-4
- URN
-
urn:nbn:de:101:1-2023083121234312185688
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 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
- Krenzer, Adrian
- Heil, Stefan
- Fitting, Daniel
- Matti, Safa
- Zoller, Wolfram G.
- Hann, Alexander
- Puppe, Frank
- SpringerLink (Online service)
Other Objects (12)
Few-Shot Meta-Learning in Heterogeneous Contexts
Explaining Siamese networks in few-shot learning
Learning few-shot imitation as cultural transmission
Subspace Adaptation Prior for Few-Shot Learning
Learning from limited labeled data - Zero-Shot and Few-Shot Learning
Learning to learn for few-shot continual active learning
Learning from imperfect data : incremental learning and Few-shot Learning
HoloDetect: Few-Shot Learning for Error Detection
Epilepsy seizure prediction with few-shot learning method
Multi-task learning for few-shot biomedical relation extraction
Few-shot learning with language models: Learning from instructions and contexts
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning
Few-Shot Meta-Learning in Heterogeneous Contexts
Explaining Siamese networks in few-shot learning
Learning few-shot imitation as cultural transmission
Subspace Adaptation Prior for Few-Shot Learning
Learning from limited labeled data - Zero-Shot and Few-Shot Learning
Learning to learn for few-shot continual active learning
Learning from imperfect data : incremental learning and Few-shot Learning
HoloDetect: Few-Shot Learning for Error Detection
Epilepsy seizure prediction with few-shot learning method
Multi-task learning for few-shot biomedical relation extraction
Few-shot learning with language models: Learning from instructions and contexts
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning
Few-Shot Meta-Learning in Heterogeneous Contexts
Explaining Siamese networks in few-shot learning
Learning few-shot imitation as cultural transmission
Subspace Adaptation Prior for Few-Shot Learning
Learning from limited labeled data - Zero-Shot and Few-Shot Learning
Learning to learn for few-shot continual active learning
Learning from imperfect data : incremental learning and Few-shot Learning
HoloDetect: Few-Shot Learning for Error Detection
Epilepsy seizure prediction with few-shot learning method
Multi-task learning for few-shot biomedical relation extraction
Few-shot learning with language models: Learning from instructions and contexts