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"COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep ..."

Alexander MacLean et al. (2021)

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DOI: 10.1007/978-3-030-87722-4_18

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

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  - conf/miccai/MacLeanAEZPGXKW21
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  - https://dblp.org/rec/conf/miccai/MacLeanAEZPGXKW21
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong:
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging. DART/FAIR@MICCAI 2021: 191-202

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