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Intrusion Detection Using Temporal Convolutional Networks

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  1. Chapter and Conference Paper

    Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN

    Nuclei segmentation plays an import role in histopathology images analysis. Deep learning approaches have shown its strength for histopathology images processing in various studies. In this paper, we proposed ...

    **npeng **e, Yuexiang Li, Menglu Zhang in Brainlesion: Glioma, Multiple Sclerosis, S… (2019)

  2. Chapter and Conference Paper

    Automatic Brain Tumor Segmentation with Domain Adaptation

    Deep convolution neural networks, in particular, the encoder-decoder networks, have been extensively used in image segmentation. We develop a deep learning approach for tumor segmentation by combining a modifi...

    Lutao Dai, Tengfei Li, Hai Shu, Liming Zhong in Brainlesion: Glioma, Multiple Sclerosis, S… (2019)

  3. Chapter and Conference Paper

    Correction to: Single Image Super-Resolution via a Holistic Attention Network

    In the originally published version of chapter 12, the first affiliation stated a wrong city and country. This has been corrected.

    Ben Niu, Weilei Wen, Wenqi Ren, **angde Zhang, Lian** Yang in Computer Vision – ECCV 2020 (2020)