Deep Learning Based on EfficientNet for Multiorgan Segmentation of Thoracic Structures on a 0.35 T MR-Linac Radiation Therapy System

The advent of the 0.35 T MR-Linac (MRIdian, ViewRay) system in radiation therapy allows precise tumor targeting for moving lesions. However, the lack of an automatic volume segmentation function in the MR-Linac’s treatment planning system poses a challenge. In this paper, we propose a deep-learning-...

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Bibliografiska uppgifter

Huvudupphov:	Mohammed Chekroun, Youssef Mourchid, Igor Bessières, Alain Lalande
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2023-12-01
Serie:	Algorithms
Ämnen:	organs-at-risk segmentation MRI deep learning radiation therapy 0.35 T MR-Linac
Länkar:	https://www.mdpi.com/1999-4893/16/12/564
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