WBCAtt+: Fine-grained pixel-level morphological annotations for white blood cell images.
Saved in:
| Title: | WBCAtt+: Fine-grained pixel-level morphological annotations for white blood cell images. |
|---|---|
| Authors: | Tsutsui S; Rapid-Rich Object Search (ROSE) Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore., Pang W; Rapid-Rich Object Search (ROSE) Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore., He S; Shanghai University of Finance and Economics, Shanghai, China., Wen B; Rapid-Rich Object Search (ROSE) Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Electronic address: bihan.wen@ntu.edu.sg. |
| Source: | Medical image analysis [Med Image Anal] 2026 Jul; Vol. 112, pp. 104137. Date of Electronic Publication: 2026 May 22. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42208454 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: WBCAtt+: Fine-grained pixel-level morphological annotations for white blood cell images. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tsutsui+S%22">Tsutsui S</searchLink>; Rapid-Rich Object Search (ROSE) Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.<br /><searchLink fieldCode="AU" term="%22Pang+W%22">Pang W</searchLink>; Rapid-Rich Object Search (ROSE) Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.<br /><searchLink fieldCode="AU" term="%22He+S%22">He S</searchLink>; Shanghai University of Finance and Economics, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Wen+B%22">Wen B</searchLink>; Rapid-Rich Object Search (ROSE) Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Electronic address: bihan.wen@ntu.edu.sg. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229713490%22">Medical image analysis</searchLink> [Med Image Anal] 2026 Jul; Vol. 112, pp. 104137. <i>Date of Electronic Publication: </i>2026 May 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9713490 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1361-8423 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213618415%22">13618415 </searchLink><i>NLM ISO Abbreviation: </i>Med Image Anal <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42208454 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.media.2026.104137 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 104137 Titles: – TitleFull: WBCAtt+: Fine-grained pixel-level morphological annotations for white blood cell images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tsutsui S – PersonEntity: Name: NameFull: Pang W – PersonEntity: Name: NameFull: He S – PersonEntity: Name: NameFull: Wen B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1361-8423 Numbering: – Type: volume Value: 112 Titles: – TitleFull: Medical image analysis Type: main |
| ResultId | 1 |