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Uncertainty quantification via localized gradients for deep learning-based medical image assessments
Brayden Schott, Dmitry Pinchuk, Victor Santoro Fernandes, Žan Klaneček, Luciano Rivetti, Alison Deatsch, Scott Perlman, Yixuan Li, Robert Jeraj
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Oznake: medicinska fizika;medicinsko slikanje;tumorji;globoko učenje;medical physics;medical imaging;tumors;deep learning;
Objective. Deep learning models that aid in medical image assessment tasks must be both accurate and reliable to be deployed within clinical settings. While deep learning models have been shown to be highly accurate across a variety of tasks, measures that indicate the reliability of these models ar ...
Leto: 2024 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Hybrid Deep Learning-Based Renewable Energy Classification for Smart Grid Optimization
Qian Hong, Xiaofeng Chen, Xiaomeng Zhai, Xiaohu Sun, Yixuan Zong
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Leto: 0 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
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