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  4. Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
 
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Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Author(s)
Otkay, O
Schlemper, Jo
Kainz, B
Type
Software / Code
Abstract
Pytorch implementation of attention gates used in U-Net and VGG-16 models. The framework can be utilised in both medical image classification and segmentation tasks.
Version
1
Date Issued
2018-04-30
Citation
2018
URI
http://hdl.handle.net/10044/1/60260
URL
https://github.com/bkainz/Attention-Gated-Networks
DOI
https://github.com/bkainz/Attention-Gated-Networks
Copyright Statement
MIT
Subjects
deep learning
medical image analysis
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