DGANet: A Dual Global Attention Neural Network for Breast Lesion Detection in Ultrasound Images-Reference-Cited by-同舟云学术

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DGANet: A Dual Global Attention Neural Network for Breast Lesion Detection in Ultrasound Images

Published:2023-01 Issue:1 Volume:49 Page:31-44
ISSN:0301-5629
Container-title:Ultrasound in Medicine & Biology
language:en
Short-container-title:Ultrasound in Medicine & Biology

Author:

Meng Hui,Liu Xuefeng,Niu Jianwei^ORCID,Wang Yong,Liao Jintang,Li Qingfeng,Chen Chen

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics,Radiology, Nuclear Medicine and imaging,Biophysics,Radiological and Ultrasound Technology

Reference37 articles.

1. Dataset of breast ultrasound images;Al-Dhabyani;Data Brief,2019

2. Molecular imaging of breast cancer: Present and future directions;Alcantara;Front Chem,2014

3. Breast tumor detection in ultrasound images using deep learning;Cao,2017

4. Gcnet: Non-local networks meet squeeze-excitation networks and beyond;Cao,2019

5. Global context networks;Cao;IEEE Trans Pattern Anal Mach Intell,2020

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1. TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound;Information Fusion;2024-12

2. Breast Cancer Detection in Image Processing;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07

3. Hybrid machine learning‐based breast cancer segmentation framework using ultrasound images with optimal weighted features;Cell Biochemistry and Function;2024-05-23

4. A survey of artificial intelligence-assisted analysis of breast ultrasoundimages classification: Research progress and future directions;Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition;2024-04-26

5. Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network;Journal of Imaging Informatics in Medicine;2024-02-15

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