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U-Net Fixed-Point Quantization for Medical Image Segmentation

Mohammadhossein Askari Hemmat, Yvon Savaria, Jean Pierre David, Sina Honari, Christian S. Perone, Lucas Rouhier and Julien Cohen-Adad

Paper (2019)

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Department: Department of Electrical Engineering
Research Center: NeuroPoly - Laboratoire de Recherche en Neuroimagerie
ISBN: 9783030336424
PolyPublie URL: https://publications.polymtl.ca/50603/
Conference Title: 22nd International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2019)
Conference Location: Shenzhen, China
Conference Date(s): 2019-10-13 - 2019-10-17
Editors: Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, X. Sharon Hu, Danny Chen, Matthieu Chabanas, Hassan Rivaz and Ingerid Reinertsen
Publisher: Springer
DOI: 10.1007/978-3-030-33642-4_13
Official URL: https://doi.org/10.1007/978-3-030-33642-4_13
Date Deposited: 18 Apr 2023 15:01
Last Modified: 21 Mar 2025 16:17
Cite in APA 7: Askari Hemmat, M., Savaria, Y., David, J. P., Honari, S., Perone, C. S., Rouhier, L., & Cohen-Adad, J. (2019, October). U-Net Fixed-Point Quantization for Medical Image Segmentation [Paper]. 22nd International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2019), Shenzhen, China. https://doi.org/10.1007/978-3-030-33642-4_13

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