Comparison of thresholds for a convolutional neural network classifying medical images
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Comparison of thresholds for a convolutional neural network classifying medical images ; day:18 ; month:6 ; year:2024 ; pages:1-7
International journal of data science and analytics ; (18.6.2024), 1-7
- Urheber
-
Rainio, Oona
Tamminen, Jonne
Venäläinen, Mikko S.
Liedes, Joonas
Knuuti, Juhani
Kemppainen, Jukka
Klén, Riku
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s41060-024-00584-z
- URN
-
urn:nbn:de:101:1-2409110934305.176595644225
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 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
- Rainio, Oona
- Tamminen, Jonne
- Venäläinen, Mikko S.
- Liedes, Joonas
- Knuuti, Juhani
- Kemppainen, Jukka
- Klén, Riku
- SpringerLink (Online service)
Ähnliche Objekte (12)
Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
Comparison of simple augmentation transformations for a convolutional neural network classifying medical images
Deep convolutional neural network model for classifying common bean leaf diseases
Convolutional neural networks with data augmentation for classifying speakers' native language
A convolutional neural network for classifying cloud particles recorded by imaging probes
A Convolutional Neural Network for Classifying Cloud Particles Recorded by Imaging Probes
Deep neural networks for classifying complex features in diffraction images
Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method
Automated detection of lung cancer-caused metastasis by classifying scintigraphic images using convolutional neural network with residual connection and hybrid attention mechanism
Acral melanoma detection using dermoscopic images and convolutional neural networks
Dental Caries diagnosis from bitewing images using convolutional neural networks
Lightweight convolutional neural network for chest X-ray images classification
Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
Comparison of simple augmentation transformations for a convolutional neural network classifying medical images
Deep convolutional neural network model for classifying common bean leaf diseases
Convolutional neural networks with data augmentation for classifying speakers' native language
A convolutional neural network for classifying cloud particles recorded by imaging probes
A Convolutional Neural Network for Classifying Cloud Particles Recorded by Imaging Probes
Deep neural networks for classifying complex features in diffraction images
Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method
Automated detection of lung cancer-caused metastasis by classifying scintigraphic images using convolutional neural network with residual connection and hybrid attention mechanism
Acral melanoma detection using dermoscopic images and convolutional neural networks
Dental Caries diagnosis from bitewing images using convolutional neural networks
Lightweight convolutional neural network for chest X-ray images classification
Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
Comparison of simple augmentation transformations for a convolutional neural network classifying medical images
Deep convolutional neural network model for classifying common bean leaf diseases
Convolutional neural networks with data augmentation for classifying speakers' native language
A convolutional neural network for classifying cloud particles recorded by imaging probes
A Convolutional Neural Network for Classifying Cloud Particles Recorded by Imaging Probes
Deep neural networks for classifying complex features in diffraction images
Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method
Automated detection of lung cancer-caused metastasis by classifying scintigraphic images using convolutional neural network with residual connection and hybrid attention mechanism
Acral melanoma detection using dermoscopic images and convolutional neural networks
Dental Caries diagnosis from bitewing images using convolutional neural networks