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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 ...
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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...
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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.