SAID-Net: enhancing segment anything model with implicit decoding for echocardiography sequences segmentation.
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| Title: | SAID-Net: enhancing segment anything model with implicit decoding for echocardiography sequences segmentation. |
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| 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 |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 189750699 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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