A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis.
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| Title: | A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. |
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| Authors: | Jiang, Peng1, Li, Xuekong2, Shen, Hui2, Chen, Yuqi1, Wang, Lang1, Chen, Hua1, Feng, Jing1, Liu, Juan1, liujuan@whu.edu.cn |
| Source: | Artificial Intelligence Review; 2023 Suppl2, Vol. 56, p2687-2758, 72p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 173585824 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-023-10588-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 72 StartPage: 2687 Titles: – TitleFull: A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jiang, Peng – PersonEntity: Name: NameFull: Li, Xuekong – PersonEntity: Name: NameFull: Shen, Hui – PersonEntity: Name: NameFull: Chen, Yuqi – PersonEntity: Name: NameFull: Wang, Lang – PersonEntity: Name: NameFull: Chen, Hua – PersonEntity: Name: NameFull: Feng, Jing – PersonEntity: Name: NameFull: Liu, Juan IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 11 Text: 2023 Suppl2 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 56 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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