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Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation.

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Created 2018-04-02 · Updated 2026-10-13 · #9032 today
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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryModel Development
SubcategoryArchitecture
Stars2,065
Forks437
Contributors2
Created date2018-04-02
Updated date2026-10-13
Stars in 1 day0
Stars in 7 days1
Rank9,032
Previous rank9,071
Rank change39
7-day stars rank9,491
Previous 7-day stars rank9,542
7-day stars rank change51
Total stars rank6,178
Previous total stars rank6,170
Total stars rank change-8
CountryTurkey
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ozan-oktay/Attention-Gated-Networks has 2,065 stars and 437 forks.

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ozan-oktay/Attention-Gated-Networks is ranked 9,032.

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ozan-oktay/Attention-Gated-Networks has 2,065 stars, uses Python and belongs to Model Development.

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ozan-oktay/Attention-Gated-Networks is compared with mapbox/robosat, ranked 9,031 with 2,065 stars.

README

Attention Gated Networks

(Image Classification & Segmentation)

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.

 ![](figures/figure1.png)    

 The schematics of the proposed Attention-Gated Sononet





 ![](figures/figure2.jpg)    

 The schematics of the proposed additive attention gate

References:

  1. "Attention-Gated Networks for Improving Ultrasound Scan Plane Detection", MIDL'18, Amsterdam

Conference Paper

Conference Poster

  1. "Attention U-Net: Learning Where to Look for the Pancreas", MIDL'18, Amsterdam

Conference Paper

Conference Poster

Installation

pip install --process-dependency-links -e .

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