Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning.

@article{Lin2019AutomatedCO,
  title={Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning.},
  author={Hongxin Lin and Chao Nan Wei and Guangxing Wang and Hu Chen and Lisheng Lin and Ming Ni and Jianxin Chen and Shuangmu Zhuo},
  journal={Journal of biophotonics},
  year={2019},
  pages={
          e201800435
        }
}
In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial for determining prognosis and treatment strategy decisions. However, a label-free and automated classification system for HCC grading has not been yet developed. Hence, in this study, we demonstrate the fusion of multiphoton microscopy and a deep-learning algorithm for classifying HCC differentiation to produce an innovative computer-aided diagnostic method. Convolutional neural networks based on… CONTINUE READING
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