arXiv:1807.06489
공식 코드 · Papers with Code
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks
원문 초록
Knowledge-based planning (KBP) is an automated approach to radiation therapy treatment planning that involves predicting desirable treatment plans before they are then corrected to deliverable ones. We propose a generative adversarial network (GAN) approach for predicting desirable 3D dose distributions that eschews the previous paradigms of site-specific feature engineering and predicting low-dimensional representations of the plan. Experiments on a dataset of oropharyngeal cancer patients show that our approach significantly outperforms previous methods on several clinical satisfaction criteria and similarity metrics.
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Generative Latent Kernel Modeling for Blind Motion Deblurring
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging
CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data
ReflectGAN: Modeling Vegetation Effects for Soil Carbon Estimation from Satellite Imagery
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