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Patch-wise 3D segmentation quality assessment combining reconstruction and regression networks.

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第一作者： Fahim Ahmed,Zaman

第一单位： University of Iowa, Department of Electrical and Computer Engineering, Iowa City, Iowa, United States.

作者： Fahim Ahmed,Zaman ^[1] ; Tarun Kanti,Roy ^[2] ; Milan,Sonka ^[1] ; Xiaodong,Wu ^[1]

作者单位： University of Iowa, Department of Electrical and Computer Engineering, Iowa City, Iowa, United States. ^[1] University of Iowa, Department of Computer Science, Iowa City, Iowa, United States. ^[2]

关键词 3D medical imaging convolutional neural network generative adversarial network segmentation quality assessment

DOI 10.1117/1.JMI.10.5.054002

PMID 37692093

发布时间 2024-09-09

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Journal of medical imaging (Bellingham, Wash.)

2023年10卷5期

054002页

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Journal of medical imaging (Bellingham, Wash.)

2023年10卷5期

054002页

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Patch-wise 3D segmentation quality assessment combining reconstruction and regression networks.

Journal of medical imaging (Bellingham, Wash.)

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Journal of medical imaging (Bellingham, Wash.)

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Patch-wise 3D segmentation quality assessment combining reconstruction and regression networks.

Journal of medical imaging (Bellingham, Wash.)

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Journal of medical imaging (Bellingham, Wash.)

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