Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images

    Davood Karimi
    Davood Karimi
    Prateek Mathur
    Prateek Mathur
    Apeksha Avinash
    Apeksha Avinash

    Medical Image Anal., pp. 186-196, 2019.

    Cited by: 8|Bibtex|Views76|Links
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    Keywords:
    ClusteringDeep learningImage segmentationModel uncertaintyShape models

    Abstract:

    The goal of this work was to develop a method for accurate and robust automatic segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images for brachytherapy. These images can be difficult to segment because of weak or insufficient landmarks or strong artifacts. We devise a method, based on convolutional ne...More

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