Applicability of artificial intelligence (AI) in infiltration-based grading of pancreatic neuroendocrine tumors Meeting Abstract


Authors: Esmer, R.; Eren, O. C.; Koc, S.; Kasapoglu, Ü; Cesur, B.; Saka, B.; Tarcan, Z.; Basturk, O.; Gunduz-Demir, C.; Volkan Adsay, N.
Abstract Title: Applicability of artificial intelligence (AI) in infiltration-based grading of pancreatic neuroendocrine tumors
Meeting Title: 113th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP) - Bringing Education to Life
Journal Title: Laboratory Investigation
Volume: 104
Issue: 3 Suppl.
Meeting Dates: 2024 Mar 23-28
Meeting Location: Baltimore, MD
ISSN: 0023-6837
Publisher: Nature Publishing Group  
Date Published: 2024-03-01
Start Page: S1830
End Page: S1831
Language: English
ACCESSION: WOS:001302363406159
PROVIDER: wos
DOI: 10.1016/j.labinv.2024.101811
Notes: Meeting Abstract: 1463 -- Located in the section "Pathology of the Pancreas, Gallbladder, Ampulla, and Extra-Hepatic Biliary Tree" (Article Number: 101811) -- Source: Wos
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  1. Olca Basturk
    352 Basturk
  2. Zeynep Cagla Tarcan
    22 Tarcan