Essays about: "Radiation dose prediction models"
Found 3 essays containing the words Radiation dose prediction models.
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1. Uncertainty Estimation in Radiation Dose Prediction U-Net
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. READ MORE
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2. Deep Learning for Dose Prediction in Radiation Therapy : A comparison study of state-of-the-art U-net based architectures
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Machine learning has shown great potential as a step in automating radiotherapy treatment planning. It can be used for dose prediction and a popular deep learning architecture for this purpose is the U-net. Since it was proposed in 2015, several modifications and extensions have been proposed in the literature. READ MORE
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3. Overcoming generative likelihood bias for voxel-based out-of-distribution detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep learning-based dose prediction is a promising approach to automated radiotherapy planning but carries with it the risk of failing silently when the inputs are highly abnormal compared to the training data. One way to address this issue is to develop a dedicated outlier detector capable of detecting anomalous patient geometries. READ MORE
