Attention gated networks: Learning to leverage salient regions in medical images.

Medical Image Analysis
Jo SchlemperDaniel Rueckert

Abstract

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 specific task. This enables us to eliminate the necessity of using explicit external tissue/organ localisation modules when using convolutional neural networks (CNNs). AGs can be easily integrated into standard CNN models such as VGG or U-Net architectures with minimal computational overhead while increasing the model sensitivity and prediction accuracy. The proposed AG models are evaluated on a variety of tasks, including medical image classification and segmentation. For classification, we demonstrate the use case of AGs in scan plane detection for fetal ultrasound screening. We show that the proposed attention mechanism can provide efficient object localisation while improving the overall prediction performance by reducing false positives. For segmentation, the proposed architecture is evaluated on two large 3D CT abdominal datasets with manual annotations for multiple organs. Experimental results show that AG models consistently impr...Continue Reading

Citations

Aug 24, 2019·PloS One·Zhemin ZhuangShunmin Qiu
Jul 17, 2020·Medical Physics·Guohua ChengZhongxiang Ding
Jul 17, 2020·Physics in Medicine and Biology·Jiwoong JeongXiaofeng Yang
May 7, 2020·International Journal of Computer Assisted Radiology and Surgery·Alireza SedghiParvin Mousavi
May 6, 2020·Sensors·Rytis Augustauskas, Arūnas Lipnickas
Jan 24, 2020·International Journal of Computer Assisted Radiology and Surgery·Zhanlan ChenJiangbin Zheng
Mar 29, 2020·Physics in Medicine and Biology·Yabo FuXiaofeng Yang
Jan 10, 2021·Medical Image Analysis·A Emre KavurM Alper Selver
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Oct 14, 2020·Computer Methods and Programs in Biomedicine·Maria Chiara FiorentinoEmanuele Frontoni
May 25, 2020·Neural Networks : the Official Journal of the International Neural Network Society·Dongdong HaoBinjie Qin
Oct 20, 2020·Medical Image Analysis·Xavier Rafael-PalouMiguel A González Ballester
Nov 10, 2020·Medical Image Analysis·Youngjun KoHyunjung Shim
Nov 24, 2020·Physics in Medicine and Biology·Daniel T HuffRobert Jeraj
Feb 16, 2021·Medical Image Analysis·Jiansheng FangJiang Liu
Feb 1, 2021·Medical Image Analysis·Chang Min HyunJin Keun Seo
Oct 29, 2020·Physics in Medicine and Biology·Xiuxiu HeXiaofeng Yang
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Nov 10, 2020·Pattern Recognition·Adel OulefkiAzzeddine Kassah Laouar
Mar 1, 2021·Medical Image Analysis·Cheng XuePheng-Ann Heng
Feb 17, 2021·Physics in Medicine and Biology·Xiuxiu HeXiaofeng Yang
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Mar 16, 2021·Medical Image Analysis·Huisi WuJing Qin
Mar 23, 2021·Biomedical Engineering Letters·R KarthikJoel Raymann

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Software Mentioned

PyTorch
Attention U - Net
Sononet
AG
Net
Adam

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