Estimating marbling score in live cattle from ultrasound images using pattern recognition and neural network procedures.

  title={Estimating marbling score in live cattle from ultrasound images using pattern recognition and neural network procedures.},
  author={John R. Brethour},
  journal={Journal of animal science},
  volume={72 6},
  • J. Brethour
  • Published 1 June 1994
  • Mathematics, Medicine
  • Journal of animal science
Neural network processing of texture statistics (which parameterized longissimus muscle echograms of live cattle) resulted in marbling estimates that differed from corresponding USDA carcass marbling scores by an average of .42 marbling score units. This was more accurate (P < .001) than using the same features in a multiple regression model. Images were used from 53 cattle in the training set and from 108 cattle in the validation set. Over 500 texture statistics (including variations in… 
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  • J. Brethour
  • Mathematics, Medicine
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  • 1990
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Diagnostic accuracy of computerized B‐scan texture analysis and conventional ultrasonography in diffuse parenchymal and malignant liver disease
Computerized analysis renders a reliable and clinically useful diagnostic subclassification of diffuse parenchymal disease into echopattern changes prevalent in chronic hepatitis, cirrhosislfibrosis, fatty infiltration and a mixed state of cirrhotic disease with fatty infiltration which cannot be achieved by conventional liver ultrasound.
Markovian analysis of cervical cell images.
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  • 1976
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