Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn to suppress irrelevant regions in an input image while highlighting salient features useful for a spec...

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Bibliografiske detaljer
Udgivet i:Med Image Anal
Main Authors: Schlemper, Jo, Oktay, Ozan, Schaap, Michiel, Heinrich, Mattias, Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel
Format: Artigo
Sprog:Inglês
Udgivet: 2019
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7610718/
https://ncbi.nlm.nih.gov/pubmed/30802813
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2019.01.012
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