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Back Cover: Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning (J. Biophotonics 7/2019)
Publication year - 2019
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201970024
Subject(s) - biophotonics , artificial intelligence , convolutional neural network , pattern recognition (psychology) , cover (algebra) , hepatocellular carcinoma , computer science , microscopy , artificial neural network , deep learning , convolution (computer science) , optics , physics , biology , cancer research , mechanical engineering , laser , engineering
This schematic depicts the classification of multiphoton images with different degrees of HCC differentiation using the VGG‐16 neural network. The convolution layer is further trained based on the original weights. The weights of the fully connected layers are initialized as a random number and the training is restarted to improve its classification accuracy. Further details can be found in the article by Hongxin Lin, Chao Wei, Guangxing Wang, et al. ( e201800435 ).