Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms ; volume:13 ; number:1 ; day:20 ; month:2 ; year:2023 ; pages:1-9 ; date:12.2023
Scientific reports ; 13, Heft 1 (20.2.2023), 1-9, 12.2023
- Urheber
-
Yoon, Taeyoung
Kang, Daesung
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-30208-8
- URN
-
urn:nbn:de:101:1-2023042621314515624936
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:46 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
- Yoon, Taeyoung
- Kang, Daesung
- SpringerLink (Online service)
Ähnliche Objekte (12)
CNN-RNN architecture to calculate BPM from underwater ECG samples
ECG signal classification based on deep CNN and BiLSTM
Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model
Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN
BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN
Bimodal Speech Recognition
CNN
Material classification in X-ray images based on multi-scale CNN
mDixon ECG-gated 3-dimensional cardiovascular magnetic resonance angiography in patients with congenital cardiovascular disease
Generating adversarial images to monitor the training state of a CNN model
Segmentation of mine overburden dump particles from images using Mask R CNN
Segmentation and classification of white blood SMEAR images using modified CNN architecture
CNN-RNN architecture to calculate BPM from underwater ECG samples
ECG signal classification based on deep CNN and BiLSTM
Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model
Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN
BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN
Bimodal Speech Recognition
CNN
Material classification in X-ray images based on multi-scale CNN
mDixon ECG-gated 3-dimensional cardiovascular magnetic resonance angiography in patients with congenital cardiovascular disease
Generating adversarial images to monitor the training state of a CNN model
Segmentation of mine overburden dump particles from images using Mask R CNN
Segmentation and classification of white blood SMEAR images using modified CNN architecture
CNN-RNN architecture to calculate BPM from underwater ECG samples
ECG signal classification based on deep CNN and BiLSTM
Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model
Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN
BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN
Bimodal Speech Recognition
CNN
Material classification in X-ray images based on multi-scale CNN
mDixon ECG-gated 3-dimensional cardiovascular magnetic resonance angiography in patients with congenital cardiovascular disease
Generating adversarial images to monitor the training state of a CNN model
Segmentation of mine overburden dump particles from images using Mask R CNN