SAID-Net: enhancing segment anything model with implicit decoding for echocardiography sequences segmentation.

Saved in:
Bibliographic Details
Title: SAID-Net: enhancing segment anything model with implicit decoding for echocardiography sequences segmentation.
Authors: Wu, Yagang1,2, whucsu@csu.edu.cn, Zhao, Tianli2,3, Hu, Shijun2,3, Wu, Qin2,3, Huang, Xin4, Chen, Yingxu4, Yin, Pengzhi5, Zheng, Zhoushun1, zszheng@csu.edu.cn
Source: Medical & Biological Engineering & Computing; Dec2025, Vol. 63 Issue 12, p3577-3587, 11p
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: 189750699
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: SAID-Net: enhancing segment anything model with implicit decoding for echocardiography sequences segmentation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wu%2C+Yagang%22">Wu, Yagang</searchLink><relatesTo>1,2</relatesTo>, <i>whucsu@csu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Tianli%22">Zhao, Tianli</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Hu%2C+Shijun%22">Hu, Shijun</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Wu%2C+Qin%22">Wu, Qin</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Xin%22">Huang, Xin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Yingxu%22">Chen, Yingxu</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Yin%2C+Pengzhi%22">Yin, Pengzhi</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AU" term="%22Zheng%2C+Zhoushun%22">Zheng, Zhoushun</searchLink><relatesTo>1</relatesTo>, <i>zszheng@csu.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Dec2025, Vol. 63 Issue 12, p3577-3587, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189750699
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11517-025-03419-6
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 3577
    Titles:
      – TitleFull: SAID-Net: enhancing segment anything model with implicit decoding for echocardiography sequences segmentation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wu, Yagang
      – PersonEntity:
          Name:
            NameFull: Zhao, Tianli
      – PersonEntity:
          Name:
            NameFull: Hu, Shijun
      – PersonEntity:
          Name:
            NameFull: Wu, Qin
      – PersonEntity:
          Name:
            NameFull: Huang, Xin
      – PersonEntity:
          Name:
            NameFull: Chen, Yingxu
      – PersonEntity:
          Name:
            NameFull: Yin, Pengzhi
      – PersonEntity:
          Name:
            NameFull: Zheng, Zhoushun
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 01400118
          Numbering:
            – Type: volume
              Value: 63
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Medical & Biological Engineering & Computing
              Type: main
ResultId 1