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

• 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

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...