Biomedical Image Segmentation: Attention U-Net

Improving model sensitivity and accuracy by attaching attention gates on top of the standard U-Net

Jingles (Hong Jing)
Towards Data Science
5 min readDec 8, 2019

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Medical image segmentation has been actively studied to automate clinical analysis. Deep learning models generally require a large amount of data, but acquiring medical images is tedious and error-prone.

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Alibaba PhD in machine learning | write about machine learning, neuroscience, healthcare & blockchain | reach me at linkedin.com/in/jingles