Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm

@article{Saba2016AutomatedSO,
  title={Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm},
  author={Luca Saba and Nilanjan Dey and Amira S. Ashour and Sourav Samanta and Siddhartha Sankar Nath and Sayan Chakraborty and Jo{\~a}o M. Sanches and Dinesh Kumar and Rui Tato Marinho and Jasjit S. Suri},
  journal={Computer methods and programs in biomedicine},
  year={2016},
  volume={130},
  pages={118-34}
}
PURPOSE Fatty liver disease (FLD) is one of the most common diseases in liver. Early detection can improve the prognosis considerably. Using ultrasound for FLD detection is highly desirable due to its non-radiation nature, low cost and easy use. However, the results can be slow and ambiguous due to manual detection. The lack of computer trained systems leads to low image quality and inefficient disease classification. Thus, the current study proposes novel, accurate and reliable detection… CONTINUE READING

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