A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features.

Saved in:
Bibliographic Details
Title: A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features.
Authors: Karthiga, Rengarajan1, Narasimhan, Kumaravelu1, Chinthaginjala, Ravikumar2, Anbazhagan, Rajesh1, Chinnusamy, Manikandan1, Pau, Giovanni3, giovanni.pau@unikore.it, Satish, Kumar2, Amirtharajan, Rengarajan1, Abbas, Mohamed4
Source: Multimedia Tools & Applications; Jul2024, Vol. 83 Issue 24, p65441-65467, 27p
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: 178996656
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Karthiga%2C+Rengarajan%22">Karthiga, Rengarajan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Narasimhan%2C+Kumaravelu%22">Narasimhan, Kumaravelu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chinthaginjala%2C+Ravikumar%22">Chinthaginjala, Ravikumar</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Anbazhagan%2C+Rajesh%22">Anbazhagan, Rajesh</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chinnusamy%2C+Manikandan%22">Chinnusamy, Manikandan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Pau%2C+Giovanni%22">Pau, Giovanni</searchLink><relatesTo>3</relatesTo>, <i>giovanni.pau@unikore.it</i><br /><searchLink fieldCode="AU" term="%22Satish%2C+Kumar%22">Satish, Kumar</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Amirtharajan%2C+Rengarajan%22">Amirtharajan, Rengarajan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Abbas%2C+Mohamed%22">Abbas, Mohamed</searchLink><relatesTo>4</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jul2024, Vol. 83 Issue 24, p65441-65467, 27p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178996656
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11042-023-18012-y
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 27
        StartPage: 65441
    Titles:
      – TitleFull: A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Karthiga, Rengarajan
      – PersonEntity:
          Name:
            NameFull: Narasimhan, Kumaravelu
      – PersonEntity:
          Name:
            NameFull: Chinthaginjala, Ravikumar
      – PersonEntity:
          Name:
            NameFull: Anbazhagan, Rajesh
      – PersonEntity:
          Name:
            NameFull: Chinnusamy, Manikandan
      – PersonEntity:
          Name:
            NameFull: Pau, Giovanni
      – PersonEntity:
          Name:
            NameFull: Satish, Kumar
      – PersonEntity:
          Name:
            NameFull: Amirtharajan, Rengarajan
      – PersonEntity:
          Name:
            NameFull: Abbas, Mohamed
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 21
              M: 07
              Text: Jul2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 13807501
          Numbering:
            – Type: volume
              Value: 83
            – Type: issue
              Value: 24
          Titles:
            – TitleFull: Multimedia Tools & Applications
              Type: main
ResultId 1