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Izvirni znanstveni članek
Oznake: medicinska fizika;medicinske slike;deformabilna poravnava slik;adaptivna radioterapija;globoko učenje;nevronske mreže;ocena negotovosti;medical physics;medical images;deformable image registration;adaptive radiotherapy;deep learning;neural networks;uncertainty estimation;
Objective. Fast and accurate deformable image registration (DIR), including DIR uncertainty estimation, is essential for safe and reliable clinical deployment. While recent deep learning models have shown promise in predicting DIR with its uncertainty, challenges persist in proper uncertainty evalua ...
Leto: 2024 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Izvirni znanstveni članek
Oznake: medicinsko slikanje;radioterapija;globoko učenje;medical imaging;radiotherapy;deep learning;
Objective. Predicting potential deformations of patients can improve radiotherapy treatment planning. Here, we introduce new deep-learning models that predict likely anatomical changes during radiotherapy for head and neck cancer patients. Approach. Denoising diffusion probabilistic models (DDPMs) w ...
Leto: 2024 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Št. zadetkov: 2
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