Improved location features for linkage of regions across ipsilateral mammograms.

Saved in:
Bibliographic Details
Title: Improved location features for linkage of regions across ipsilateral mammograms.
Authors: Tanner, Christine1 tanner@vision.ee.ethz.ch, van Schie, Guido2, Lesniak, Jan M.1, Karssemeijer, Nico2, Székely, Gábor1
Source: Medical Image Analysis. Dec2013, Vol. 17 Issue 8, p1265-1272. 8p.
Subjects: Mammograms, Computer diagnostic software, Medical imaging systems, Medical radiology, Diagnostic imaging
Abstract: Highlights: [•] Multi-view computer aided diagnosis (CADe) has shown improved performance over single-view CADe for mammography. [•] Multi-view CADe requires linkage of suspicious regions across ipsilateral mammograms. [•] The relative location of the regions contributes to achieving this linkage. [•] We proposed several practical methods for defining the location features. [•] We found that a combination of methods significantly reduced errors and increased the number of correctly linked regions. [ABSTRACT FROM AUTHOR]
Copyright of Medical Image Analysis is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 90630452
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Improved location features for linkage of regions across ipsilateral mammograms.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Tanner%2C+Christine%22">Tanner, Christine</searchLink><relatesTo>1</relatesTo><i> tanner@vision.ee.ethz.ch</i><br /><searchLink fieldCode="AR" term="%22van+Schie%2C+Guido%22">van Schie, Guido</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lesniak%2C+Jan+M%2E%22">Lesniak, Jan M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Karssemeijer%2C+Nico%22">Karssemeijer, Nico</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Székely%2C+Gábor%22">Székely, Gábor</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Medical+Image+Analysis%22">Medical Image Analysis</searchLink>. Dec2013, Vol. 17 Issue 8, p1265-1272. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Mammograms%22">Mammograms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+diagnostic+software%22">Computer diagnostic software</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+imaging+systems%22">Medical imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+radiology%22">Medical radiology</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: [•] Multi-view computer aided diagnosis (CADe) has shown improved performance over single-view CADe for mammography. [•] Multi-view CADe requires linkage of suspicious regions across ipsilateral mammograms. [•] The relative location of the regions contributes to achieving this linkage. [•] We proposed several practical methods for defining the location features. [•] We found that a combination of methods significantly reduced errors and increased the number of correctly linked regions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Medical Image Analysis is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=90630452
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.media.2013.05.001
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 1265
    Subjects:
      – SubjectFull: Mammograms
        Type: general
      – SubjectFull: Computer diagnostic software
        Type: general
      – SubjectFull: Medical imaging systems
        Type: general
      – SubjectFull: Medical radiology
        Type: general
      – SubjectFull: Diagnostic imaging
        Type: general
    Titles:
      – TitleFull: Improved location features for linkage of regions across ipsilateral mammograms.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Tanner, Christine
      – PersonEntity:
          Name:
            NameFull: van Schie, Guido
      – PersonEntity:
          Name:
            NameFull: Lesniak, Jan M.
      – PersonEntity:
          Name:
            NameFull: Karssemeijer, Nico
      – PersonEntity:
          Name:
            NameFull: Székely, Gábor
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2013
              Type: published
              Y: 2013
          Identifiers:
            – Type: issn-print
              Value: 13618415
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Medical Image Analysis
              Type: main
ResultId 1