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Digital Cytology Part 2: Artificial Intelligence in Cytology: a Concept Paper with Review and Recommendations from the American Society of Cytopathology Digital Cytology Task Force

AuthID
P-00Z-RR1

Author(s)

Kim, D

Sundling, E

Virk, R

Thrall, J

Alperstein, S

Bui, M

Chen Yost, H

Donnelly, D

Lin, O

Liu, X

Madrigal, E

Michelow, P

Schmitt, C

Vielh, R

Zakowski, F

Parwani, V

Jenkins, E

Siddiqui, T

Pantanowitz, L

Li, Z

Document Type

Review

Year published

2024

Published

in Journal of the American Society of Cytopathology, ISSN: 2213-2945

Volume: 13, Issue: 2, Pages: 97-110

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Scopus^®

Crossref^®4

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1016/j.jasc.2023.11.005

Scopus: 2-s2.0-85181133787

Source Identifiers

ISSN: 2213-2945

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Digital Cytology Part 2: Artificial Intelligence in Cytology: a Concept Paper with Review and Recommendations from the American Society of Cytopathology Digital Cytology Task Force

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Digital Cytology Part 2: Artificial Intelligence in Cytology: a Concept Paper with Review and Recommendations from the American Society of Cytopathology Digital Cytology Task Force

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