A novel LVPA-UNet network for target volume automatic delineation: An MRI case study of nasopharyngeal carcinoma

Accurate delineation of Gross Tumor Volume (GTV) is crucial for radiotherapy. Deep learning-driven GTV segmentation technologies excel in rapidly and accurately delineating GTV, providing a basis for radiologists in formulating radiation plans. The existing 2D and 3D segmentation models of GTV based...

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書誌詳細

主要な著者:	Yu Zhang, Hao-Ran Xu, Jun-Hao Wen, Yu-Jun Hu, Yin-Liang Diao, Jun-Liang Chen, Yun-Fei Xia
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2024-05-01
シリーズ:	Heliyon
主題:	Nasopharyngeal carcinoma Image segmentation Deep learning Convolutional network Layer volume Attention-UNet
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S240584402406794X
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