AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images
Author:
Affiliation:
1. College of Artificial Intelligence, Nankai University, Tianjin, China
2. Institute of Biomedical Engineering, University of Oxford, London, U.K
3. Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, U.K
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
http://xplorestaging.ieee.org/ielx7/42/10114431/09968268.pdf?arnumber=9968268
Reference44 articles.
1. Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
2. CBAM: Convolutional Block Attention Module
3. Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains
4. An RDAU-NET model for lesion segmentation in breast ultrasound images
5. Convolutional neural networks for breast cancer detection in mammography: A survey
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