View in EDS HTML Full Text PDF Full Text

Needle tracking in low-resolution ultrasound volumes using deep learning.

Saved in:
Bibliographic Details
Title: Needle tracking in low-resolution ultrasound volumes using deep learning.
Authors: Grube S; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany. sarah.grube@tuhh.de., Latus S; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Behrendt F; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Riabova O; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Neidhardt M; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Schlaefer A; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Oct; Vol. 19 (10), pp. 1975-1981. Date of Electronic Publication: 2024 Jul 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39002100
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Needle tracking in low-resolution ultrasound volumes using deep learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Grube+S%22">Grube S</searchLink>; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany. sarah.grube@tuhh.de.<br /><searchLink fieldCode="AU" term="%22Latus+S%22">Latus S</searchLink>; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Behrendt+F%22">Behrendt F</searchLink>; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Riabova+O%22">Riabova O</searchLink>; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Neidhardt+M%22">Neidhardt M</searchLink>; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Schlaefer+A%22">Schlaefer A</searchLink>; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101499225%22">International journal of computer assisted radiology and surgery</searchLink> [Int J Comput Assist Radiol Surg] 2024 Oct; Vol. 19 (10), pp. 1975-1981. <i>Date of Electronic Publication: </i>2024 Jul 13.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101499225 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1861-6429 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218616410%22">18616410 </searchLink><i>NLM ISO Abbreviation: </i>Int J Comput Assist Radiol Surg <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39002100
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11548-024-03234-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1975
    Titles:
      – TitleFull: Needle tracking in low-resolution ultrasound volumes using deep learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Grube S
      – PersonEntity:
          Name:
            NameFull: Latus S
      – PersonEntity:
          Name:
            NameFull: Behrendt F
      – PersonEntity:
          Name:
            NameFull: Riabova O
      – PersonEntity:
          Name:
            NameFull: Neidhardt M
      – PersonEntity:
          Name:
            NameFull: Schlaefer A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2024 Oct
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1861-6429
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: International journal of computer assisted radiology and surgery
              Type: main
ResultId 1