Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy

•Auto-segmentation using Deep Learning can be difficult with a small medical dataset.•Transfer learning allows deep learning networks to retrain easily on small datasets.•We successfully apply this method to auto-segment targets and OARs in prostate radiation therapy. Magnetic resonance (MR) only ra...

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Bibliographic Details

Published in:	Physics and imaging in radiation oncology Vol. 12; pp. 80 - 86
Main Authors:	Elguindi, Sharif, Zelefsky, Michael J., Jiang, Jue, Veeraraghavan, Harini, Deasy, Joseph O., Hunt, Margie A., Tyagi, Neelam
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.10.2019 Elsevier
Subjects:	Autosegmentation Deep learning MR-only Original Prostate cancer U-Net Deep learning Autosegmentation Prostate cancer U-Net MR-only
ISSN:	2405-6316, 2405-6316
Online Access:	Get full text
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