The current state of digital cytology and artificial intelligence AI global survey results from the American Society of Cytopathology Digital Cytology Task Force
| dc.article.end-page | 328 | en |
| dc.article.start-page | 319 | en |
| dc.citation.doi | 10.1016/J.JASC.2024.04.003 | en |
| dc.contributor.author | David Kim | en |
| dc.contributor.author | Michael Thrall | en |
| dc.contributor.author | Pamela Michelow | en |
| dc.contributor.author | F Schmitt | en |
| dc.contributor.author | Philippe Vielh | en |
| dc.contributor.author | E et al | en |
| dc.date.accessioned | 2024-12-11T09:41:55Z | |
| dc.date.available | 2024-12-11T09:41:55Z | |
| dc.faculty | FACULTY OF HEALTH SCIENCES | en |
| dc.identifier.citation | SCOPUS | en |
| dc.identifier.issn | 22132945 | en |
| dc.identifier.uri | https://hdl.handle.net/10539/43272 | |
| dc.journal.title | The current state of digital cytology and artificial intelligence AI global survey results from the American Society of Cytopathology Digital Cytology Task Force | en |
| dc.journal.volume | 13 | en |
| dc.school | 1.04 | en |
| dc.title | The current state of digital cytology and artificial intelligence AI global survey results from the American Society of Cytopathology Digital Cytology Task Force | en |
| dc.type | Journal Article | en |
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