Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models.
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| Title: | Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models. |
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| Authors: | Balan J; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., McDonnell SK; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Fogarty Z; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Larson NB; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. |
| Source: | Journal of pathology informatics [J Pathol Inform] 2025 Apr 15; Vol. 17, pp. 100443. Date of Electronic Publication: 2025 Apr 15 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40463413 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Balan+J%22">Balan J</searchLink>; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22McDonnell+SK%22">McDonnell SK</searchLink>; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Fogarty+Z%22">Fogarty Z</searchLink>; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Larson+NB%22">Larson NB</searchLink>; Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101528849%22">Journal of pathology informatics</searchLink> [J Pathol Inform] 2025 Apr 15; Vol. 17, pp. 100443. <i>Date of Electronic Publication: </i>2025 Apr 15 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101528849 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2229-5089 (Print) <i>NLM ISO Abbreviation: </i>J Pathol Inform <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40463413 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jpi.2025.100443 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100443 Titles: – TitleFull: Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Balan J – PersonEntity: Name: NameFull: McDonnell SK – PersonEntity: Name: NameFull: Fogarty Z – PersonEntity: Name: NameFull: Larson NB IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: 2025 Apr 15 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2229-5089 Numbering: – Type: volume Value: 17 Titles: – TitleFull: Journal of pathology informatics Type: main |
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