Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts
Article
Article Title | Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts |
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ERA Journal ID | 16096 |
Article Category | Article |
Authors | Hamyoon, Hessam, Chan, Wai Yee, Mohammadi, Afshin, Kuzan, Taha, Mirza-Aghazadeh-Attari, Mohammad, Leong, Wai Ling, Altintoprak, Kübra Murzoglu, Vijayananthan, Anushya, Rahmat, Kartini, Mumin, Nazimah Ab, Leong, Sook Sam, Ejtehadifar, Sajjad, Faeghi, Fariborz, Abolghasemi, Jamileh, Ciaccio, Edward J., Acharya, U. Rajendra and Ardakani, Ali Abbasian |
Journal Title | European Journal of Radiology |
Journal Citation | 157 |
Article Number | 110591 |
Number of Pages | 10 |
Year | 2022 |
Publisher | Elsevier |
Place of Publication | Ireland |
ISSN | 0720-048X |
1872-7727 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ejrad.2022.110591 |
Web Address (URL) | https://www.ejradiology.com/article/S0720-048X(22)00441-7/fulltext#%20 |
Abstract | Purpose |
Keywords | Artificial intelligence; BI-RADS; Breast cancer; Machine learning; Ultrasound |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Tehran University of Medical Sciences, Iran |
Gleneagles Hospital, Malaysia | |
Urmia University of Medical Science, Iran | |
Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, Turkey | |
Johns Hopkins University, United States | |
University of Malaya, Malaysia | |
MARA University of Technology, Malaysia | |
Shahid Beheshti University of Medical Sciences, Iran | |
Iran University of Medical Sciences, Iran | |
Columbia University, United States | |
Ngee Ann Polytechnic, Singapore | |
Asia University, Taiwan | |
Singapore University of Social Sciences (SUSS), Singapore |
https://research.usq.edu.au/item/z1v9q/artificial-intelligence-bi-rads-evaluation-and-morphometry-a-novel-combination-to-diagnose-breast-cancer-using-ultrasonography-results-from-multi-center-cohorts
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