Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology.
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| Title: | Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. |
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| Authors: | Noguchi, Aya1,2 (AUTHOR), Numata, Yasushi3 (AUTHOR), Sugawara, Takanori4 (AUTHOR), Miura, Hiroshu4 (AUTHOR), Konno, Kaori4 (AUTHOR), Adachi, Yuzu4 (AUTHOR), Yamaguchi, Ruri2 (AUTHOR), Ishida, Masaharu1 (AUTHOR), Kokumai, Takashi1 (AUTHOR), Douchi, Daisuke1 (AUTHOR), Miura, Takayuki1 (AUTHOR), Ariake, Kyohei1 (AUTHOR), Nakayama, Shun1 (AUTHOR), Maeda, Shimpei1 (AUTHOR), Ohtsuka, Hideo1 (AUTHOR), Mizuma, Masamichi1 (AUTHOR), Nakagawa, Kei1 (AUTHOR), Morikawa, Hiromu3 (AUTHOR), Akatsuka, Jun3,5 (AUTHOR), Maeda, Ichiro3,6,7 (AUTHOR) |
| Source: | Scientific Reports. 8/2/2024, Vol. 14 Issue 1, p1-9. 9p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 178806719 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=178806719 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-67757-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Titles: – TitleFull: Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Noguchi, Aya – PersonEntity: Name: NameFull: Numata, Yasushi – PersonEntity: Name: NameFull: Sugawara, Takanori – PersonEntity: Name: NameFull: Miura, Hiroshu – PersonEntity: Name: NameFull: Konno, Kaori – PersonEntity: Name: NameFull: Adachi, Yuzu – PersonEntity: Name: NameFull: Yamaguchi, Ruri – PersonEntity: Name: NameFull: Ishida, Masaharu – PersonEntity: Name: NameFull: Kokumai, Takashi – PersonEntity: Name: NameFull: Douchi, Daisuke – PersonEntity: Name: NameFull: Miura, Takayuki – PersonEntity: Name: NameFull: Ariake, Kyohei – PersonEntity: Name: NameFull: Nakayama, Shun – PersonEntity: Name: NameFull: Maeda, Shimpei – PersonEntity: Name: NameFull: Ohtsuka, Hideo – PersonEntity: Name: NameFull: Mizuma, Masamichi – PersonEntity: Name: NameFull: Nakagawa, Kei – PersonEntity: Name: NameFull: Morikawa, Hiromu – PersonEntity: Name: NameFull: Akatsuka, Jun – PersonEntity: Name: NameFull: Maeda, Ichiro IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 08 Text: 8/2/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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