Automated and robust organ segmentation for 3D-based internal dose calculation

Automated and robust organ segmentation for 3D-based internal dose calculation

Abstract Purpose In this work, we address image segmentation in the scope of dosimetry using deep learning and make three main contributions: (a) to extend and optimize the architecture of an existing convolutional neural network (CNN) in order to obtain a fast, robust and accurate computed tomograp...

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Bibliographic Details
Main Authors: Mahmood Nazari, Luis David Jiménez-Franco, Michael Schroeder, Andreas Kluge, Marcus Bronzel, Sharok Kimiaei
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:EJNMMI Research
Subjects:
CT segmentation
Internal dosimetry
Automation
SPECT
177Lu
Deep learning
Online Access:https://doi.org/10.1186/s13550-021-00796-5

Internet

https://doi.org/10.1186/s13550-021-00796-5

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