Fusion of B‐mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma-Reference-Cited by-同舟云学术

Fusion of B‐mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma

Published:2022-02-02 Issue:5 Volume:39 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Pham The‐Hanh¹,Faust Oliver²^ORCID,Koh Joel En Wei¹,Ciaccio Edward J.³,Barua Prabal D.⁴,Omar Norlia⁵,Ng Wei Lin⁵,Ab Mumin Nazimah⁵⁶^ORCID,Rahmat Kartini⁵,Acharya U. Rajendra¹⁵⁷⁸^ORCID

Affiliation:

1. School of Engineering Ngee Ann Polytechnic Singapore Singapore

2. Department of Engineering and Mathematics Sheffield Hallam University Sheffield UK

3. Department of Medicine Columbia University New York New York USA

4. School of Management and Enterprise University of Southern Queensland Toowoomba Queensland Australia

5. Department of Biomedical Imaging, Faculty of Medicine University of Malaya Kuala Lumpur Malaysia

6. Radiology Department, Faculty of Medicine University Teknologi MARA, Sungai Buloh Campus Sungai Buloh Malaysia

7. School of Science and Technology Singapore University of Social Sciences Singapore Singapore

8. Department of Bioinformatics and Medical Engineering Asia University Taichung Taiwan

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12947

Reference68 articles.

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3. Data mining framework for breast lesion classification in shear wave ultrasound: A hybrid feature paradigm

4. Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images

5. Automated EEG analysis of epilepsy: A review

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