Analysis of Specimen Mammography with Artificial Intelligence to Predict Margin Status.
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| Title: | Analysis of Specimen Mammography with Artificial Intelligence to Predict Margin Status. |
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| Authors: | Chen KA; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Kirchoff KE; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Butler LR; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Holloway AD; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Kapadia MR; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Kuzmiak CM; Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Downs-Canner SM; Department of Surgery, Breast Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Spanheimer PM; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Gallagher KK; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. kristalyn_gallagher@med.unc.edu., Gomez SM; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. smgomez@unc.edu. |
| Source: | Annals of surgical oncology [Ann Surg Oncol] 2023 Nov; Vol. 30 (12), pp. 7107-7115. Date of Electronic Publication: 2023 Aug 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37563337 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analysis of Specimen Mammography with Artificial Intelligence to Predict Margin Status. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Chen+KA%22">Chen KA</searchLink>; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Kirchoff+KE%22">Kirchoff KE</searchLink>; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Butler+LR%22">Butler LR</searchLink>; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Holloway+AD%22">Holloway AD</searchLink>; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Kapadia+MR%22">Kapadia MR</searchLink>; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Kuzmiak+CM%22">Kuzmiak CM</searchLink>; Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Downs-Canner+SM%22">Downs-Canner SM</searchLink>; Department of Surgery, Breast Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Spanheimer+PM%22">Spanheimer PM</searchLink>; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Gallagher+KK%22">Gallagher KK</searchLink>; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. kristalyn&#95;gallagher@med.unc.edu.<br /><searchLink fieldCode="AU" term="%22Gomez+SM%22">Gomez SM</searchLink>; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. smgomez@unc.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229420840%22">Annals of surgical oncology</searchLink> [Ann Surg Oncol] 2023 Nov; Vol. 30 (12), pp. 7107-7115. <i>Date of Electronic Publication: </i>2023 Aug 10. – 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="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9420840 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1534-4681 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210689265%22">10689265 </searchLink><i>NLM ISO Abbreviation: </i>Ann Surg Oncol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37563337 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1245/s10434-023-14083-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 7107 Titles: – TitleFull: Analysis of Specimen Mammography with Artificial Intelligence to Predict Margin Status. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen KA – PersonEntity: Name: NameFull: Kirchoff KE – PersonEntity: Name: NameFull: Butler LR – PersonEntity: Name: NameFull: Holloway AD – PersonEntity: Name: NameFull: Kapadia MR – PersonEntity: Name: NameFull: Kuzmiak CM – PersonEntity: Name: NameFull: Downs-Canner SM – PersonEntity: Name: NameFull: Spanheimer PM – PersonEntity: Name: NameFull: Gallagher KK – PersonEntity: Name: NameFull: Gomez SM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2023 Nov Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1534-4681 Numbering: – Type: volume Value: 30 – Type: issue Value: 12 Titles: – TitleFull: Annals of surgical oncology Type: main |
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