Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts

Hamyoon, H., Yee Chan, W., Mohammadi, A., Yusuf Kuzan, T., Mirza-Aghazadeh-Attari, M., Leong, W. L., Murzoglu Altintoprak, K., Vijayananthan, A., Rahmat, K., Ab Mumin, N., Sam Leong, S., Ejtehadifar, S., Faeghi, F., Abolghasemi, J., Ciaccio, E. J., Rajendra Acharya, U., & Abbasian Ardakani, A. (2022). Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts. European Journal of Radiology, 157, 110591. https://doi.org/10.1016/j.ejrad.2022.110591
Authors:
Hessam Hamyoon
Wai Yee Chan
Afshin Mohammadi
Taha Yusuf Kuzan
Mohammad Mirza-Aghazadeh-Attari
Wai Ling Leong
Kübra Murzoglu Altintoprak
Anushya Vijayananthan
Kartini Rahmat
Nazimah Ab Mumin
Sook Sam Leong
Sajjad Ejtehadifar
Fariborz Faeghi
Jamileh Abolghasemi
Edward J Ciaccio
U Rajendra Acharya
Ali Abbasian Ardakani
Affiliated Authors:
Edward J Ciaccio
Columbia Affiliation:
Subjects:
Ultrasonography, Mammary (MeSH)
Breast Neoplasms (MeSH)
Author Keywords:
artificial intelligence
bi-rads
breast cancer
machine learning
ultrasound
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Publication Type:
Article
Unique ID:
10.1016/j.ejrad.2022.110591
PMID:
36356463
DOI:
10.1016/j.ejrad.2022.110591
Journal:
European Journal of Radiology
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: