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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Vydané v:	Physics and imaging in radiation oncology Ročník 12; s. 80 - 86
Hlavní autori:	Elguindi, Sharif, Zelefsky, Michael J., Jiang, Jue, Veeraraghavan, Harini, Deasy, Joseph O., Hunt, Margie A., Tyagi, Neelam
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.10.2019 Elsevier
Predmet:	Autosegmentation Deep learning MR-only Original Prostate cancer U-Net Deep learning Autosegmentation Prostate cancer U-Net MR-only
ISSN:	2405-6316, 2405-6316
On-line prístup:	Získať plný text
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