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  1. No Access

    Chapter and Conference Paper

    Brain Tumor Classification with Tumor Segmentations and a Dual Path Residual Convolutional Neural Network from MRI and Pathology Images

    Brain tumor classification plays an important role in brain cancer diagnosis and treatment. Pathologists typically have to work through numerous pathology images that can be in the order of hundreds or thousan...

    Yunzhe Xue, Yanan Yang, Fadi G. Farhat… in Brainlesion: Glioma, Multiple Sclerosis, S… (2020)

  2. No Access

    Chapter and Conference Paper

    A Multi-path Decoder Network for Brain Tumor Segmentation

    The identification of brain tumor type, shape, and size from MRI images plays an important role in glioma diagnosis and treatment. Manually identifying the tumor is time expensive and prone to error. And while...

    Yunzhe Xue, Meiyan **e, Fadi G. Farhat… in Brainlesion: Glioma, Multiple Sclerosis, S… (2020)

  3. No Access

    Chapter and Conference Paper

    Image Classification and Retrieval with Random Depthwise Signed Convolutional Neural Networks

    We propose a random convolutional neural network to generate a feature space in which we study image classification and retrieval performance. Put briefly we apply random convolutional blocks followed by globa...

    Yunzhe Xue, Usman Roshan in Advances in Computational Intelligence (2019)