Novel Algorithm to Detect, Classify, and Count Mussel Larvae in Seawater Samples Using Computer Vision.

Saved in:
Bibliographic Details
Title: Novel Algorithm to Detect, Classify, and Count Mussel Larvae in Seawater Samples Using Computer Vision.
Authors: Orgeira-Crespo, Pedro1, guillermo.rey@uvigo.esporgeira@uvigo.es, Gabín-Sánchez, Carlos2, Aguado-Agelet, Fernando3, faguado@uvigo.es, Rey-González, Guillermo1
Source: Applied Sciences (2076-3417); Jun2024, Vol. 14 Issue 12, p5113, 18p
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: 178158111
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Novel Algorithm to Detect, Classify, and Count Mussel Larvae in Seawater Samples Using Computer Vision.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Orgeira-Crespo%2C+Pedro%22">Orgeira-Crespo, Pedro</searchLink><relatesTo>1</relatesTo>, <i>guillermo.rey@uvigo.esporgeira@uvigo.es</i><br /><searchLink fieldCode="AU" term="%22Gabín-Sánchez%2C+Carlos%22">Gabín-Sánchez, Carlos</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Aguado-Agelet%2C+Fernando%22">Aguado-Agelet, Fernando</searchLink><relatesTo>3</relatesTo>, <i>faguado@uvigo.es</i><br /><searchLink fieldCode="AU" term="%22Rey-González%2C+Guillermo%22">Rey-González, Guillermo</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2024, Vol. 14 Issue 12, p5113, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178158111
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app14125113
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 5113
    Titles:
      – TitleFull: Novel Algorithm to Detect, Classify, and Count Mussel Larvae in Seawater Samples Using Computer Vision.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Orgeira-Crespo, Pedro
      – PersonEntity:
          Name:
            NameFull: Gabín-Sánchez, Carlos
      – PersonEntity:
          Name:
            NameFull: Aguado-Agelet, Fernando
      – PersonEntity:
          Name:
            NameFull: Rey-González, Guillermo
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 20763417
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Applied Sciences (2076-3417)
              Type: main
ResultId 1