AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound-Reference-Cited by-同舟云学术

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound

Published:2021-08 Issue: Volume:72 Page:102137
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Huang Ruobing,Lin Zehui,Dou Haoran,Wang Jian,Miao Juzheng,Zhou Guangquan,Jia Xiaohong,Xu Wenwen,Mei Zihan,Dong Yijie,Yang Xin,Zhou Jianqiao,Ni Dong

Funder

Guangdong Medical Research Foundation

National Key Research and Development Program of China

Shenzhen Peacock Plan

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference45 articles.

1. Doppler ultrasound color flow imaging in the study of breast cancer: preliminary findings;Adler;Ultrasound Med. Biol.,1990

2. An enas based approach for constructing deep learning models for breast cancer recognition from ultrasound images;Ahmed;arXiv preprint arXiv:2005.13695,2020

3. A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets;Antropova;Med. Phys.,2017

4. Breast lesions: quantitative elastography with supersonic shear imagingpreliminary results;Athanasiou;Radiology,2010

5. Differentiating benign from malignant solid breast masses with us strain imaging;Burnside;Radiology,2007

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

2. Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer;Neurocomputing;2024-10

3. Opportunities and challenges in the application of large artificial intelligence models in radiology;Meta-Radiology;2024-06

4. Using Segment-Level Attention to Guide Breast Ultrasound Video Classification;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

5. Triaug: Out-Of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27