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Characterizing pathology images with statistical analysis of local neural network responses
Characterizing pathology images with statistical analysis of local neural network responses
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机译:使用局部神经网络响应的统计分析来表征病理图像
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摘要
For digital pathology imaging, intelligent processing, such as automatic recognition or content-based retrieval, is one significant benefit that drives the wide application of this technology. Before any intelligent processing on pathology images, every image is converted into a feature vector which quantitatively capture its visual characteristics. An algorithm characterizing pathology images with statistical analysis of local responses of neural networks is described herein. The algorithm framework enables extracting sophisticated textural features that are well adapted to the image data of interest.
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