A New Approach for Quantifying Morphological Features of U3O8 for Nuclear Forensics Using a Deep Learning Model
Journal of Nuclear Materials（2019）
Key words
Nuclear forensics,Quantitative morphology,Machine learning,Segmentation,Triuranium octoxide,Convolutional neural networks
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