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Št. zadetkov: 2
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)
Impact of pectoral muscle removal on deep-learning-based breast cancer risk prediction
Žan Klaneček, Yao Kuan Wang, Tobias Wagner, Lesley Cockmartin, Nicholas Marshall, Brayden Schott, Alison Deatsch, Andrej Studen, Katja Jarm, Mateja Krajc, Miloš Vrhovec, Hilde Bosmans, Robert Jeraj
Izvirni znanstveni članek
Oznake: dejavniki tveganja;rak dojke;kalibracija;mamografija;breast cancer risk;calibration;mammography;
State-of-the-art Breast Cancer Risk (BCR) prediction models have been originally trained on mammograms with pectoral muscle (PM) included. This study investigated whether excluding PM during training/fine-tuning improves the model's BCR discrimination performance, calibration, and robustness.&xD;&xD ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Št. zadetkov: 2
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