Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images

ss | Amirhossein Foroozan

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=169815
Date :  2022/09/26
Publish in :    Computers in Biology and Medicine

Link :  https://www.sciencedirect.com/science/article/abs/pii/S0010482521009008
Keywords :Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images

Abstract :

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Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images