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U-net fixed-point quantization for medical image segmentation

MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria and Jean Pierre David

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
PolyPublie URL: https://publications.polymtl.ca/44445/
Conference Title: 1st International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019)
Conference Location: Shenzhen, China
Conference Date(s): 2019-10-17
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: 05 Apr 2024 11:43
Cite in APA 7: AskariHemmat, M.H., Honari, S., Rouhier, L., Perone, C. S., Cohen-Adad, J., Savaria, Y., & David, J. P. (2019, October). U-net fixed-point quantization for medical image segmentation [Paper]. 1st International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019), Shenzhen, China. https://doi.org/10.1007/978-3-030-33642-4_13

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