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ECR 2020 / C-12115

Magna Cum Laude

Machine-learning Analysis of Radiomic Features for the Preoperative Assessment of Vascular Involvement in Patients with Pancreatic Ductal Adenocarcinoma.

This EPOS poster will be available online until July 20, 2020.
Congress:
ECR 2020
Poster Number:
C-12115
Type:
Scientific Exhibit
Keywords:
GI Tract, Artificial Intelligence, Oncology, Pancreas, CT, Diagnostic procedure, Outcomes analysis, Outcomes, Retrospective, Case-control study, Performed at one institution
Authors:
F. Rigiroli1, C. Li2, J. Hoye2, M. Meyer3, J. C. Ramirez Girlando2, P. Lyu2, S. Luo2, E. Samei4, D. Marin2; 1Durham, NC/US, 2Durham/US, 3Mannheim/DE, 4Durham, NC, NC/US
DOI:

Purpose

Methods and materials

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Personal information and conflict of interest

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