Deep learning-based interactive segmentation of medical volumetric imaging datasets

The embodiment of the invention relates to interactive segmentation of medical volumetric imaging datasets based on deep learning. The invention relates to an interactive segmentation process based on a neural network algorithm. The user input corrections or determinations are encoded and input to a...

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Bibliographische Detailangaben
Hauptverfasser: JANDRIKAR, JAYANT, SUEHLING MICHAEL, KATZMANN ANDREAS, THAMM FRANK
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The embodiment of the invention relates to interactive segmentation of medical volumetric imaging datasets based on deep learning. The invention relates to an interactive segmentation process based on a neural network algorithm. The user input corrections or determinations are encoded and input to a neural network algorithm. 本公开实施例涉及基于深度学习的医学体积成像数据集交互式分割。本公开涉及基于神经网络算法的交互式分割过程。用户输入的校正或确定被编码并且输入到神经网络算法。