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Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction results

2022-09-15

Abstract excerpt

<title>Abstract</title><p>Purpose: To develop a 3D dose distribution prediction deep learning model for volumetric modulated arc radiotherapy (VMAT) of cervical cancer, and to explore the impact of different multichannel input data on the prediction accuracy, especially to prove the feasibility of dose prediction only based on computed tomography (CT) images and planning target volume (PTV) delineated contours. <h...

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Literature Corpus work
918dc8dd-3fb5-56e4-b0bf-f5828ac7f0d5
DOI
10.21203/rs.3.rs-2056810/v1
Open publication

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Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction resultsDOI 10.21203/rs.3.rs-2056810/v1
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