Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation

Objective: Radiotherapy uses precise doses of radiation to treat cancer, requiring accurate verification, e.g. using the Electronic Portal Imaging Device (EPID), to guide treatment. To develop an effective artificial intelligence (AI) model for error detection and treatment verification, a large and...

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Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Glazunova, Olga, Wolfs, Cecile J A, Verhaegen, Frank
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Classification Data acquisition Datasets Error analysis Error correction & detection Error detection Image acquisition Image quality Modelling Neural networks Predictions Radiation therapy Synthetic data Verification
Online-Zugang:	Volltext
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