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Assessing the impact of a pre-processing pipeline on a tumor localization model in prostate MRI within a large multi-institutional dataset (NRG-GU005)

Stephanie Alley, Marion Tonneau, Damien Olivié, Clare M. Tempany-Afdhal, Peter L. Choyke, Baris I. Turkbey, Uulke Van Der Heide, Rodney J. Ellis, Thomas P. Boike, Daniel Pennington, Arthur Frazier, Colleen A. F. Lawton, Nelson Leong, Alina M. Mihai, Scott C. Morgan, Abhishek A. Solanki, Jeff M. Michalski, Felix Y. Feng, Howard Sandler, Cynthia Menard and Samuel Kadoury

Paper (2025)

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Department: Department of Computer Engineering and Software Engineering
ISBN: 9781510685994
PolyPublie URL: https://publications.polymtl.ca/65939/
Conference Title: SPIE Medical Imaging
Conference Location: San Diego, CA, USA
Conference Date(s): 2025-02-16 - 2025-02-21
Publisher: SPIE - International Society for Optical Engineering
DOI: 10.1117/12.3043835
Official URL: https://doi.org/10.1117/12.3043835
Date Deposited: 03 Jun 2025 13:44
Last Modified: 03 Jun 2025 13:44
Cite in APA 7: Alley, S., Tonneau, M., Olivié, D., Tempany-Afdhal, C. M., Choyke, P. L., Turkbey, B. I., Van Der Heide, U., Ellis, R. J., Boike, T. P., Pennington, D., Frazier, A., Lawton, C. A. F., Leong, N., Mihai, A. M., Morgan, S. C., Solanki, A. A., Michalski, J. M., Feng, F. Y., Sandler, H., ... Kadoury, S. (2025, February). Assessing the impact of a pre-processing pipeline on a tumor localization model in prostate MRI within a large multi-institutional dataset (NRG-GU005) [Paper]. SPIE Medical Imaging, San Diego, CA, USA (3 pages). https://doi.org/10.1117/12.3043835

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