Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network

Yu Wang; Yating Chen; Ningning Yang; Longfei Zheng; Nilanjan Dey; Amira S. Ashour; V. Rajinikanth; João Manuel R. S. Tavares; Fuqian Shi

doi:10.1016/j.asoc.2018.10.006

JOURNAL ARTICLE

Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network

Yu Wang Yating Chen Ningning Yang Longfei Zheng Nilanjan Dey Amira S. Ashour V. Rajinikanth João Manuel R. S. Tavares Fuqian Shi

Year: 2018 Journal: Applied Soft Computing Vol: 74 Pages: 40-50 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2018.10.006

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Keywords:

Support vector machine Artificial intelligence Convolutional neural network Pattern recognition (psychology) Computer science Confusion matrix Preprocessor Granuloma Local binary patterns Random forest Gray level Classifier (UML) Pearson product-moment correlation coefficient Artificial neural network Contextual image classification Pathology Medicine Pixel Image (mathematics) Mathematics Statistics

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Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network

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