Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images

Mohamed El Amine Elforaici, Féryel Azzi, Dominique Trudel, Bich Nguyen, Emmanuel Montagnon, An Tang, Simon Turcotte, Samuel Kadoury

Paper (2024)

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Additional Information:
Groupe de recherche: MedICAL;
Groupe de recherche: CRCHUM
Department:
Department of Computer Engineering and Software Engineering
Research Center:
Other
ISBN:
9798350313338
PolyPublie URL:
https://publications.polymtl.ca/59493/
Conference Title:
21st IEEE International Symposium on Biomedical Imaging (ISBI 2024)
Conference Location:
Athens, Greece
Conference Date(s):
2024-05-27 - 2024-05-30
Publisher:
IEEE
DOI:
10.1109/isbi56570.2024.10635713
Official URL:
https://doi.org/10.1109/isbi56570.2024.10635713
OAI:
oai:publications.polymtl.ca:59493
ORCID
Date Deposited:
29 Oct 2024 13:18
Last Modified:
14 Oct 2026 14:20
Cite in APA 7:
Elforaici, M. E. A., Azzi, F., Trudel, D., Nguyen, B., Montagnon, E., Tang, A., Turcotte, S., & Kadoury, S. (2024, May). Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images [Paper]. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). https://doi.org/10.1109/isbi56570.2024.10635713

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