U-Net Fixed-Point Quantization for Medical Image Segmentation

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

Paper (2019)

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Additional Information:
Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13-17, 2019
Department:
Department of Electrical Engineering
Research Center:
GR2M - Microelectronics and Microsystems Research Group
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, 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
OAI:
oai:publications.polymtl.ca:50603
ORCID
Date Deposited:
18 Apr 2023 15:01
Last Modified:
08 Oct 2026 18:24
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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