- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1433-7479
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
ELUCNN for explainable COVID-19 diagnosis ; day:13 ; month:1 ; year:2023 ; pages:1-17
Soft computing ; (13.1.2023), 1-17
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00500-023-07813-w
- URN
-
urn:nbn:de:101:1-2023032221332609651701
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
17.09.2025, 14:53 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
- Wang, Shui-Hua
- Satapathy, Suresh Chandra
- Xie, Man-Xia
- Zhang, Yu-Dong
- SpringerLink (Online service)
Ähnliche Objekte (12)
Integrated ensemble CNN and explainable AI for COVID-19 diagnosis from CT scan and X-ray images
Explainable machine learning models for early gastric cancer diagnosis
Total network controllability analysis discovers explainable drugs for Covid-19 treatment
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding
Colon cancer diagnosis by means of explainable deep learning
Insights from explainable interactive machine learning in the age of COVID-19
An explainable model of host genetic interactions linked to COVID-19 severity
A tree-based explainable AI model for early detection of Covid-19 using physiological data
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis
MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis
Spectroscopic methods for COVID-19 detection and early diagnosis
Integrated ensemble CNN and explainable AI for COVID-19 diagnosis from CT scan and X-ray images
Explainable machine learning models for early gastric cancer diagnosis
Total network controllability analysis discovers explainable drugs for Covid-19 treatment
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding
Colon cancer diagnosis by means of explainable deep learning
Insights from explainable interactive machine learning in the age of COVID-19
An explainable model of host genetic interactions linked to COVID-19 severity
A tree-based explainable AI model for early detection of Covid-19 using physiological data
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis
MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis
Spectroscopic methods for COVID-19 detection and early diagnosis
Integrated ensemble CNN and explainable AI for COVID-19 diagnosis from CT scan and X-ray images
Explainable machine learning models for early gastric cancer diagnosis
Total network controllability analysis discovers explainable drugs for Covid-19 treatment
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding
Colon cancer diagnosis by means of explainable deep learning
Insights from explainable interactive machine learning in the age of COVID-19
An explainable model of host genetic interactions linked to COVID-19 severity
A tree-based explainable AI model for early detection of Covid-19 using physiological data
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis
MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis