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

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 ultrasound 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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Bibliographic Details
Published in:European Journal of Radiology
Main Author: 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.
Format: Article
Language:English
Published: Elsevier Ireland Ltd 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141518353&doi=10.1016%2fj.ejrad.2022.110591&partnerID=40&md5=4361296ce14a23d40b73b0e4d654b8f2

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141518353&doi=10.1016%2fj.ejrad.2022.110591&partnerID=40&md5=4361296ce14a23d40b73b0e4d654b8f2

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