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

Related tags

Deep Learningimage-classificationconvolutional-neural-networksimage-segmentationattention-modelattention-gates
Overview

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.


The schematics of the proposed Attention-Gated Sononet


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

  2. "Attention U-Net: Learning Where to Look for the Pancreas", MIDL'18, Amsterdam
    Conference Paper
    Conference Poster

Installation

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

Owner
Ozan Oktay
Research Scientist @ Microsoft Research Cambridge
Ozan Oktay
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