View in EDS HTML Full Text PDF Full Text

Multiple sclerosis lesions prediction and segmentation using an optimized deep network system.

Saved in:
Bibliographic Details
Title: Multiple sclerosis lesions prediction and segmentation using an optimized deep network system.
Authors: Goura, Kavita1,2, kavitagoura2@gmail.com, Harsoor, Anita1, anitaharsoor@gmail.com
Source: Multimedia Tools & Applications; Nov2025, Vol. 84 Issue 36, p45243-45265, 23p
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: 189912249
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Multiple sclerosis lesions prediction and segmentation using an optimized deep network system.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Goura%2C+Kavita%22">Goura, Kavita</searchLink><relatesTo>1,2</relatesTo>, <i>kavitagoura2@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Harsoor%2C+Anita%22">Harsoor, Anita</searchLink><relatesTo>1</relatesTo>, <i>anitaharsoor@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Nov2025, Vol. 84 Issue 36, p45243-45265, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189912249
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11042-025-20902-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 45243
    Titles:
      – TitleFull: Multiple sclerosis lesions prediction and segmentation using an optimized deep network system.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Goura, Kavita
      – PersonEntity:
          Name:
            NameFull: Harsoor, Anita
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 22
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 13807501
          Numbering:
            – Type: volume
              Value: 84
            – Type: issue
              Value: 36
          Titles:
            – TitleFull: Multimedia Tools & Applications
              Type: main
ResultId 1