Artificial intelligence in medical imaging and radiation oncology: Opportunities and challenges.
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| Title: | Artificial intelligence in medical imaging and radiation oncology: Opportunities and challenges. |
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| Authors: | Thwaites, David1,2 (AUTHOR) david.thwaites@sydney.edu.au, Moses, Daniel3,4 (AUTHOR), Haworth, Annette1 (AUTHOR), Barton, Michael5,6 (AUTHOR), Holloway, Lois1,5,6,7 (AUTHOR) |
| Source: | Journal of Medical Imaging & Radiation Oncology. Aug2021, Vol. 65 Issue 5, p481-485. 5p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 151721424 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=151721424 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/1754-9485.13275 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 481 Titles: – TitleFull: Artificial intelligence in medical imaging and radiation oncology: Opportunities and challenges. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thwaites, David – PersonEntity: Name: NameFull: Moses, Daniel – PersonEntity: Name: NameFull: Haworth, Annette – PersonEntity: Name: NameFull: Barton, Michael – PersonEntity: Name: NameFull: Holloway, Lois IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 17549477 Numbering: – Type: volume Value: 65 – Type: issue Value: 5 Titles: – TitleFull: Journal of Medical Imaging & Radiation Oncology Type: main |
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