Automated contour propagation of the prostate from pCT to CBCT images via deep unsupervised learning

Volume: 48, Issue: 4, Pages: 1764 - 1770
Published: Mar 1, 2021
Abstract
Purpose To develop and evaluate a deep unsupervised learning (DUL) framework based on a regional deformable model for automated prostate contour propagation from planning computed tomography (pCT) to cone-beam CT (CBCT). Methods We introduce a DUL model to map the prostate contour from pCT to on-treatment CBCT. The DUL framework used a regional deformable model via narrow-band mapping to augment the conventional strategy. Two hundred and...
Paper Details
Title
Automated contour propagation of the prostate from pCT to CBCT images via deep unsupervised learning
Published Date
Mar 1, 2021
Volume
48
Issue
4
Pages
1764 - 1770
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