Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.
Saved in:
| Title: | Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer. |
|---|---|
| Authors: | Chan HP; Department of Radiology, University of Michigan, 1500 E. Medical Center Dr., Med Inn Building C477, Ann Arbor, MI, 48109-5842, USA. chanhp@umich.edu. |
| Source: | European radiology [Eur Radiol] 2024 Apr; Vol. 34 (4), pp. 2590-2592. Date of Electronic Publication: 2023 Nov 16. |
| Publication Type: | Editorial; Comment |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37971682 AccessLevel: 2 PubType: Editorial & Opinion PubTypeId: editorialOpinion PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Chan+HP%22">Chan HP</searchLink>; Department of Radiology, University of Michigan, 1500 E. Medical Center Dr., Med Inn Building C477, Ann Arbor, MI, 48109-5842, USA. chanhp@umich.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2024 Apr; Vol. 34 (4), pp. 2590-2592. <i>Date of Electronic Publication: </i>2023 Nov 16. – Name: TypePub Label: Publication Type Group: TypPub Data: Editorial; Comment – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37971682 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-023-10449-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2590 Titles: – TitleFull: Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chan HP IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2024 Apr Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1432-1084 Numbering: – Type: volume Value: 34 – Type: issue Value: 4 Titles: – TitleFull: European radiology Type: main |
| ResultId | 1 |