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AuthorBiswas, Shreyadc.contributor.author
AuthorChatterjee, Somnathdc.contributor.author
AuthorMajee, Arindamdc.contributor.author
AuthorSen, Shibaprasaddc.contributor.author
AuthorSchwenker, Friedhelmdc.contributor.author
AuthorSarkar, Ramdc.contributor.author
Date of accession2021-10-21T09:24:48Zdc.date.accessioned
Available in OPARU since2021-10-21T09:24:48Zdc.date.available
Date of first publication2021dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordCOVID-19dc.subject
Keywordtransfer learningdc.subject
Keywordchest CT scan imagedc.subject
Keywordensemble learningdc.subject
Dewey Decimal GroupDDC 530 / Physicsdc.subject.ddc
Dewey Decimal GroupDDC 540 / Chemistry & allied sciencesdc.subject.ddc
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitlePrediction of COVID-19 from Chest CT Images Using an Ensemble of Deep Learning Modelsdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.3390/app11157004dc.identifier.doiExternal
Source - Title of sourceApplied Sciencessource.title
Source - Place of publicationMDPIsource.publisher
Source - Volume11source.volume
Source - Issue15source.issue
Source - Year2021source.year
Source - Article number7004source.articleNumber
Source - eISSN2076-3417source.identifier.eissn
Open Accessgolduulm.OA
CommunityUniversität Ulmuulm.community
WoS000681905900001uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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