View in EDS HTML Full Text PDF Full Text

A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks.

Saved in:
Bibliographic Details
Title: A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks.
Authors: Yaşar, Huseyin1, mirhendise@gmail.com, Ceylan, Murat2
Source: Multimedia Systems; Dec2023, Vol. 29 Issue 6, p3931-3949, 19p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 173653680
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Yaşar%2C+Huseyin%22">Yaşar, Huseyin</searchLink><relatesTo>1</relatesTo>, <i>mirhendise@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Ceylan%2C+Murat%22">Ceylan, Murat</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Multimedia+Systems%22">Multimedia Systems</searchLink>; Dec2023, Vol. 29 Issue 6, p3931-3949, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=173653680
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00530-022-00892-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 3931
    Titles:
      – TitleFull: A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yaşar, Huseyin
      – PersonEntity:
          Name:
            NameFull: Ceylan, Murat
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 09424962
          Numbering:
            – Type: volume
              Value: 29
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Multimedia Systems
              Type: main
ResultId 1