REAF: ROI Extraction and Adaptive Fusion for Breast Cancer Diagnosis in Ultrasound Images-Reference-Cited by-同舟云学术

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REAF: ROI Extraction and Adaptive Fusion for Breast Cancer Diagnosis in Ultrasound Images

Published:2023-12-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Zhang Ziyang¹,Lim Jia Wei²,Zheng Yuanxun³,Chen Bozhao⁴,Chen Dongxin⁴,Lin Yi³

Affiliation:

1. North China University of Techonology,Brunel London School,Beijing,China

2. Brunel University London,Centre for Mathematical and Statistical Modelling,Kingston Lane,Uxbridge,UK

3. The Norinco Group,Aviation Ammunition Research Institute,Harbin,China

4. China Southern Power Grid Digital Grid Group Co., Ltd,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385941.pdf?arnumber=10385941

Reference48 articles.

1. Dataset of breast ultrasound images

2. A Novel Method of Multimodal Medical Image Fusion Based on Hybrid Approach of NSCT and DTCWT

3. Hybrid deep learning and genetic algorithms approach (HMB-DLGAHA) for the early ultrasound diagnoses of breast cancer

4. Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning

5. Breast Cancer Screening and Diagnosis, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology

Cited by 1 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. KRC-APM: Key region cutting and artificial prior model for breast cancer recognition in ultrasound images;Expert Systems with Applications;2024-12

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