Detection of hydrocephalus using machine learning in medical science – a review.

Saved in:
Bibliographic Details
Title: Detection of hydrocephalus using machine learning in medical science – a review.
Authors: Baloni, Dev1, devbaloni1982@gmail.com, Verma, Shashi Kant2
Source: Multimedia Tools & Applications; Jun2022, Vol. 81 Issue 15, p21199-21222, 24p
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: 158386415
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Detection of hydrocephalus using machine learning in medical science – a review.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Baloni%2C+Dev%22">Baloni, Dev</searchLink><relatesTo>1</relatesTo>, <i>devbaloni1982@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Verma%2C+Shashi+Kant%22">Verma, Shashi Kant</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jun2022, Vol. 81 Issue 15, p21199-21222, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158386415
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11042-022-12744-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 21199
    Titles:
      – TitleFull: Detection of hydrocephalus using machine learning in medical science – a review.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Baloni, Dev
      – PersonEntity:
          Name:
            NameFull: Verma, Shashi Kant
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 13807501
          Numbering:
            – Type: volume
              Value: 81
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Multimedia Tools & Applications
              Type: main
ResultId 1