Titlebook: Machine Learning in Medical Imaging; 11th International W Mingxia Liu,Pingkun Yan,Xiaohuan Cao Conference proceedings 2020 Springer Nature

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Zhenyuan Ning,Yu Zhang,Yongsheng Pan,Tao Zhong,Mingxia Liu,Dinggang Shen many technology generations of semiconductor logic and memoLife-Cycle Assessment of Semiconductors presents the first and thus far only available transparent and complete life cycle assessment of semiconductor devices. A lack of reliable semiconductor LCA data has been a major challenge to evaluati

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Carlos Tor-Diez,Antonio Reyes Porras,Roger J. Packer,Robert A. Avery,Marius George Linguraru many technology generations of semiconductor logic and memoLife-Cycle Assessment of Semiconductors presents the first and thus far only available transparent and complete life cycle assessment of semiconductor devices. A lack of reliable semiconductor LCA data has been a major challenge to evaluati

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Harrowing

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,Semi-supervised Segmentation with Self-training Based on Quality Estimation and Refinement,truth mask or not at pixel level. Our method is evaluated on the established neuroblastoma(NB) and BraTS18 dataset and outperforms other state-of-the-art semi-supervised medical image segmentation methods. We can achieve a fully supervised performance while requiring .4x less annotation effort.

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