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The Current State of Digital Cytology and Artificial Intelligence (Ai): Global Survey Results from the American Society of Cytopathology Digital Cytology Task Force

AuthID
P-010-F6M

Author(s)

Kim, D

Thrall, J

Michelow, P

Schmitt, C

Vielh, R

Siddiqui, T

Sundling, E

Virk, R

Alperstein, S

Bui, M

Chen Yost, H

Donnelly, D

Lin, O

Liu, X

Madrigal, E

Zakowski, F

Parwani, V

Jenkins, E

Pantanowitz, L

Li, Z

Document Type

Article

Year published

2024

Published

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

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Scopus^®

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Google Scholar^®

Metadata
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Publication Identifiers

DOI: 10.1016/j.jasc.2024.04.003

SCOPUS: 2-s2.0-85192770216

Source Identifiers

ISSN: 2213-2945

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The Current State of Digital Cytology and Artificial Intelligence (Ai): Global Survey Results from the American Society of Cytopathology Digital Cytology Task Force

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