Efficient Biomedical Image Segmentation on EdgeTPUs at Point of Care

The U-Net architecture is a state-of-the-art neural network for semantic image segmentation that is widely used in biomedical research. It is based on an encoder-decoder framework and its vanilla version shows already high performance in terms of segmentation quality. Due to its large parameter spac...

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Bibliographic Details
Main Authors: Andreas M. Kist, Michael Dollinger
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9151951/