Artificial intelligence (AI) weights the importance of factors predicting malignancy at the time of ultrasonographic (US) examination.
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| Title: | Artificial intelligence (AI) weights the importance of factors predicting malignancy at the time of ultrasonographic (US) examination. |
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| Authors: | Chiappa, V.1 (AUTHOR), Fruscio, R.2 (AUTHOR), Franchi, D.3 (AUTHOR), Tartamella, J.2 (AUTHOR), Raspagliesi, F.1 (AUTHOR), Bogani, G.1 (AUTHOR) |
| Source: | Australasian Journal of Ultrasound in Medicine. May2019, Vol. 22 Issue 2, p143-143. 1p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 137028768 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=137028768 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ajum.12142 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 143 Titles: – TitleFull: Artificial intelligence (AI) weights the importance of factors predicting malignancy at the time of ultrasonographic (US) examination. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chiappa, V. – PersonEntity: Name: NameFull: Fruscio, R. – PersonEntity: Name: NameFull: Franchi, D. – PersonEntity: Name: NameFull: Tartamella, J. – PersonEntity: Name: NameFull: Raspagliesi, F. – PersonEntity: Name: NameFull: Bogani, G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 18366864 Numbering: – Type: volume Value: 22 – Type: issue Value: 2 Titles: – TitleFull: Australasian Journal of Ultrasound in Medicine Type: main |
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