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

Purpose: To develop and validate a machine learning (ML) model for the classification of breast lesions on ul-trasound images.Method: In the present study, three separate data cohorts containing 1288 breast lesions from three countries (Malaysia, Iran, and Turkey) were utilized for MLmodel developme...

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Main Authors: Hamyoon, Hessam, Chan, Wai Yee, Mohammadi, Afshin, Kuzan, Taha Yusuf, Mirza-Aghazadeh-Attari, Mohammad, Leong, Wai Ling, Altintoprak, Kuebra Murzoglu, Vijayananthan, Anushya, Rahmat, Kartini, Ab Mumin, Nazimah, Leong, Sook Sam, Ejtehadifar, Sajjad, Faeghi, Fariborz, Abolghasemi, Jamileh, Ciaccio, Edward J., Acharya, U. Rajendra, Ardakani, Ali Abbasian
Format: Article
Published: ELSEVIER IRELAND LTD 2022
Subjects:
QA76 Computer software
RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Online Access:http://eprints.um.edu.my/46176/
https://doi.org/10.1016/j.ejrad.2022.110591
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http://eprints.um.edu.my/46176/
https://doi.org/10.1016/j.ejrad.2022.110591

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