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Št. zadetkov: 4
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)
Sensitivity of a deep-learning-based breast cancer risk prediction model
Žan Klaneček, Yao Kuan Wang, Tobias Wagner, Lesley Cockmartin, Nicholas Marshall, Brayden Schott, Alison Deatsch, Andrej Studen, Katja Jarm, Mateja Krajc, Miloš Vrhovec, Robert Jeraj
Izvirni znanstveni članek
Oznake: rak dojke;tveganja;globoko ležeči tumorji;mamografija;breast cancer risk;deep learning;mammography;
Objective. When it comes to the implementation of deep-learning based breast cancer risk (BCR) prediction models in clinical settings, it is important to be aware that these models could be sensitive to various factors, especially those arising from the acquisition process. In this work, we investig ...
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)
Metabolic dysregulation in vitamin E and carnitine shuttle energy mechanisms associate with human frailty
Nicholas J. W. Rattray, Drupad K. Trivedi, Yun Xu, Tarani Chandola, Caroline H. Johnson, Alan D. Marshall, Krisztina Mekli, Zahra Rattray, Gindo Tampubolon, Bram Vanhoutte, I. R. White, Frederick C. W. Wu, Neil Pendleton, James Y. Nazroo, Royston Goodacre
Izvirni znanstveni članek
Oznake: metabolomics;frailty;ageing;LC-MS;serum;
Global ageing poses a substantial economic burden on health and social care costs. Enabling a greater proportion of older people to stay healthy for longer is key to the future sustainability of health, social and economic policy. Frailty and associated decrease in resilience plays a central role in ...
Leto: 2019 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 4
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