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Using explainable AI to characterize features in the Mirai mammographic breast cancer risk prediction model
Yao Kuan Wang, Žan Klaneček, Tobias Wagner, Lesley Cockmartin, Nicholas Marshall, Andrej Studen, Robert Jeraj, Hilde Bosmans
Izvirni znanstveni članek
Oznake: medicinsko slikanje;mamografija;rak dojk;ogroženost;umetna inteligenca;medical imaging;mammography;breast cancer;risk prediction;artificial intelligence;
Purpose To evaluate whether features extracted by Mirai can be aligned with mammographic observations and contribute meaningfully to the prediction of breast cancer risk. Materials and Methods This retrospective study examined the correlation of 512 Mirai features with mammographic observations i ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
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