[HTML][HTML] Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications-A Scoping Review
Methods: We followed the PRISMA-ScR scoping review reporting guidelines. We utilized the
population (human cancer patients), concept (utilization of AI UQ), context (radiotherapy …
population (human cancer patients), concept (utilization of AI UQ), context (radiotherapy …
Improving error detection in deep learning based radiotherapy autocontouring using bayesian uncertainty
Abstract Bayesian Neural Nets (BNN) are increasingly used for robust organ auto-
contouring. Uncertainty heatmaps extracted from BNNs have been shown to correspond to …
contouring. Uncertainty heatmaps extracted from BNNs have been shown to correspond to …
Report on AI-Infused Contouring Workflows for Adaptive Proton Therapy in the Head and Neck
Delineation of tumors and organs-at-risk permits detecting and correcting changes in the
patients' anatomy throughout the treatment, making it a core step of adaptive proton therapy …
patients' anatomy throughout the treatment, making it a core step of adaptive proton therapy …
[PDF][PDF] Towards fast human-centred contouring workflows for adaptiv e external beam radiotherapy
NF Chaves-de-Plaza, P Mody… - Proceedings of the …, 2022 - hfes-europe.org
Delineation of tumours and organs-at-risk permits detecting and correcting changes in the
patients' anatomy throughout the treatment, making it a core step of adaptive external beam …
patients' anatomy throughout the treatment, making it a core step of adaptive external beam …
Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty
M Staring - Uncertainty for Safe Utilization of Machine Learning …, 2022 - books.google.com
Bayesian Neural Nets (BNN) are increasingly used for robust organ auto-contouring.
Uncertainty heatmaps extracted from BNNs have been shown to correspond to inaccurate …
Uncertainty heatmaps extracted from BNNs have been shown to correspond to inaccurate …
Implementation of Delineation Error Detection Systems in Clinical Practice: Do AI-Supported Optimization and Human Preferences Meet?
Artificial Intelligence (AI)-based auto-delineation technologies rapidly delineate multiple
structures of interest like organs-at-risk and tumors in 3D medical images, reducing …
structures of interest like organs-at-risk and tumors in 3D medical images, reducing …
[PDF][PDF] Improving the Random Walker algorithm for interactive 3D medical image segmentation using AI predictions
B Stellinga - cse3000-research-project.github.io
The segmentation of anatomical structures in 3D medical images is often performed using
Active Learning (AL), due to the limited accuracy of automated algorithms. As proposed by …
Active Learning (AL), due to the limited accuracy of automated algorithms. As proposed by …