Conference
View in EDS

YOLOv8 Based An Automated Segmentation And Classification Of Thyroid Nodules Using USG Images

Bibliographic Details
Title: YOLOv8 Based An Automated Segmentation And Classification Of Thyroid Nodules Using USG Images
Authors: Gondi, Savita, Nagaral, M. U.
Source: 2024 International Conference on Innovation and Novelty in Engineering and Technology (INNOVA) Innovation and Novelty in Engineering and Technology (INNOVA), 2024 International Conference on. I:1-6 Dec, 2024
Relation: 2024 International Conference on Innovation and Novelty in Engineering and Technology (INNOVA)
Database: IEEE Xplore Digital Library
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://login.libproxy.scu.edu/login?url=https://ieeexplore.ieee.org/document/10847001
    Name: EDS - IEEE (s8985755)
    Category: fullText
    Text: Check IEEE Xplore for full text
    MouseOverText: Check IEEE Xplore for full text. A new window will open.
  – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:edseee&genre=book&issn=edseee.IEEEConferenc&ISBN=9798331505134&volume=I&issue=&date=&spage=1&pages=1-6&title=2024 International Conference on Innovation and Novelty in Engineering and Technology (INNOVA), Innovation and Novelty in Engineering and Technology (INNOVA), 2024 International Conference on&atitle=YOLOv8%20Based%20An%20Automated%20Segmentation%20And%20Classification%20Of%20Thyroid%20Nodules%20Using%20USG%20Images&aulast=Gondi%2C%20Savita&id=DOI:10.1109/INNOVA63080.2024.10847001
    Name: Full Text Finder (for New FTF UI) (s8985755)
    Category: fullText
    Text: Find It @ SCU Libraries
    MouseOverText: Find It @ SCU Libraries
Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.10847001
RelevancyScore: 1158
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1158.04577636719
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: YOLOv8 Based An Automated Segmentation And Classification Of Thyroid Nodules Using USG Images
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gondi%2C+Savita%22">Gondi, Savita</searchLink><br /><searchLink fieldCode="AR" term="%22Nagaral%2C+M%2E+U%2E%22">Nagaral, M. U.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: 2024 International Conference on Innovation and Novelty in Engineering and Technology (INNOVA) Innovation and Novelty in Engineering and Technology (INNOVA), 2024 International Conference on. I:1-6 Dec, 2024
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: 2024 International Conference on Innovation and Novelty in Engineering and Technology (INNOVA)
PLink https://login.libproxy.scu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edseee&AN=edseee.10847001
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/INNOVA63080.2024.10847001
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 1
    Titles:
      – TitleFull: YOLOv8 Based An Automated Segmentation And Classification Of Thyroid Nodules Using USG Images
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gondi, Savita
      – PersonEntity:
          Name:
            NameFull: Nagaral, M. U.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 20
              M: 12
              Type: published
              Y: 2024
          Identifiers:
            – Type: isbn-print
              Value: 9798331505134
            – Type: issn-locals
              Value: edseee.IEEEConferenc
          Numbering:
            – Type: volume
              Value: I
          Titles:
            – TitleFull: 2024 International Conference on Innovation and Novelty in Engineering and Technology (INNOVA), Innovation and Novelty in Engineering and Technology (INNOVA), 2024 International Conference on
              Type: main
ResultId 1