Feature Tokenizer-Transformers with Self-Training for The Prediction of PD-L1 Expression of Non-Small Cell Lung Cancer from CT

Ralph Saber, Marion Tonneau, Sami Bahig, Julie Malo, Wiam Belkaid, Meriem Messaoudene, Nicole Bouchard, François Coulombe, Philippe Joubert, Houda Bahig, Simon Turcotte, Bertrand Routy and Samuel Kadoury

Paper (2024)

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Additional Information:	Groupe de recherche: MedICAL
Department:	Department of Computer Engineering and Software Engineering
Research Center:	Other
PolyPublie URL:	https://publications.polymtl.ca/59504/
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/isbi56570.2024.10635812
Official URL:	https://doi.org/10.1109/isbi56570.2024.10635812
Date Deposited:	29 Oct 2024 13:18
Last Modified:	29 Oct 2024 13:18

Cite in APA 7:

Saber, R., Tonneau, M., Bahig, S., Malo, J., Belkaid, W., Messaoudene, M., Bouchard, N., Coulombe, F., Joubert, P., Bahig, H., Turcotte, S., Routy, B., & Kadoury, S. (2024, May). Feature Tokenizer-Transformers with Self-Training for The Prediction of PD-L1 Expression of Non-Small Cell Lung Cancer from CT [Paper]. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). https://doi.org/10.1109/isbi56570.2024.10635812

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